Cs 194 - Case docket: CAPITAL ONE NA V. SARAH H BOTONE, CS-2024-194 in Oklahoma State, Cleveland County, District Court, Brockman, Scott presiding, last filing 03/12/2024, filed 01/25/2024.

 
CS 194-26 Fall 2020 Project 5a: IMAGE WARPING and MOSAICING Brian Wu. Introduction. In this project I take pictures and perform homographies on them to warp them. These projective transformations allow me to accomplish rectification and morphing of images into a mosaic. Shooting pictures.. Customer service westlake financial

Audio API & Audio Management for SMAPI, without the need for Harmony. Add custom audio tracks.I really like the study in the 194-26, and the projects are very interesting. Most importantly, by project, I learn many practical skills and implement many works I cannot imagine. Take the image style transfer, I learn a lot methods to build the CNN, which is very popular now and I am excited to learn it. Design. The dt+UX^2 course (CS194H) focuses on bringing design thinking, processes, and tools to human-computer interaction. Students in the course continue to improve on the designs they created in the prior quarter's course (CS147). CS 194 Final Project Yash Agarwal and Devesh Agarwal Website Credit: Rami Moustafa, cs194-26-abo Project Selection. For the purpose of this project, our team decided to work on the three following projects: Poor Man's Augmented Reality; Lightfield Camera: Depth Refocusing and Aperture Adjustment with Light Field DataCOMPSCI 194-26: Computational Photography & Computer Vision (Fall 2021) Alina Dan . Fun with Filters Part 1.1: Finite Difference Operator. To show the partial derivatives in x and y of the cameraman image, I convolved the image with finite difference filters: D x = [1, -1] D y = [[1], [-1]]CS 194-26, Fall 2021 Project 5 Charles Sun. Part 1: Nose Tip Detection. I created a Dataset class to lead the images downscaled to 80x60. Here are some example images: Then I created a CNN class that takes in a bunch of different hyperparameters so I …Programming Applications For Engineers (CS 15900) 1 year ago. The use of arrays, including character pointers to represent string data, or any technique of repetition would violate requirements of this assignment and result in no credit being awarded for your effort. True or falseIm stuck on which major to do. The upper div classes that really interest me are Info 159 (NLP), Data 100, CS 194 (Data Engineering), and Data 144 (Data Mining) which are all Data Science oriented classes. None of the upper div CS classes seem to interest me or be valuable to me other than maybe CS 170 for the sake of interviews. The aim of this advanced undergraduate course is to introduce students to computing with visual data (images and video). CAMERAS: Although it is not required, students are highly …Tempted to Buy Banks? Don't Catch a Falling Piano...CS Over the weekend, several folks contacted me with questions about the banking sector. The questions revolved around one k...CS 194-26: Image Manipulation and Computational Photography, Fall 2018. Overview. Sergei Mikhailovich Prokudin-Gorskii (1863-1944) [Сергей Михайлович Прокудин-Горский, to his Russian friends] was a man well …CS 194-015. Parallel Programming. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor. Formats: Summer: 2.0-8.0 hours of lecture per week Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week. Grading basis: letter.Final Project 1: Poor Man's Augmented Reality Overview. In this project, I developed a simple form of augmented reality by capturing a video and inserting a synthetic object into the scene.Class: CS 194-26 (UC Berkeley) Date: 10/14/21 Part A: Image Warping and Mosaicing Shoot the Pictures The first thing to do to start this project is to, of course, shoot the pictures. However, these pictures should not be taken casually. We must shoot them such that the transforms between them is projective.Light Field Camera; Triangulation Matting and Compositing; Gradient Domain Fusion The aim of this advanced undergraduate course is to introduce students to computing with visual data (images and video). Please enter your school email address. Please enter the berkeley.edu, ucb.edu or mba.berkeley.edu email address to which you would like to add your classes.. Email: Confirm Email: Please enter a valid berkeley.edu, ucb.edu or mba.berkeley.edu email address. Uh oh! Your email addresses don't match. Submit EmailCS 194-26 Proj 3: Face Morphing. Anik Gupta. Overview. The goal of this project is to create morph animations between multiple faces. This involves defining correspondences between faces and using them to define triangles. Corresponding triangles across multiple images can be used to calculate transformations for the pixels within each triangle ...University of California, BerkeleyCS 194-26 Final Project. Evan McNeil and Shreyas Krishnaswamy. Overview. For our final project, we completed the Light Field Camera, Seam Carving, and Tour Into the Picture Projects. I. Light Field Camera Overview.CS 194-26: Image Manipulation and Computational Photography Feature Matching for Autostitching Part 2 of a Larger Project. By: Alex Pan. Overview. In the previous part of this project, we explored how homographies can be used to warp images to a certain perspective. We applied this technique to a set of pictures of the same scene with different ...CS 194: Software Project Design, specification, coding, and testing of a significant team programming project under faculty supervision. Documentation includes capture of project rationale, design and discussion of key performance indicators, a weekly progress log and a software architecture diagram.Here you will find all the necessary information on the server #1潇洒<<粤※港※澳>>娱乐专场【自选皮肤】: server address (14.21.37.194:27015), server statistics, top players, current server map, statistics on players and maps on the server, server admin info. If you like this server, you can like the server or add the server to ...Courses. CS194_4285. CS 194-100. Anti-Racism and EECS. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. …not have majority of course content overlapping with an existing CS course; Courses numbered 199, 198, 197, 196, 195, select 194, 190 and various seminars do not count. The following are pre-approved technical elective courses. Cross-listed versions of the listed courses will also count.CS 194-10, Fall 2011 Assignment 7 1. (15) Do Ex. 14.7 from Russell & Norvig. 2. Exponential Family (15) [[Note: for the purposes of this question, the corresponding Wikipedia articles are off limits.]] A probability distribution in the exponential family takes the following form:CS 194-26 Project 1: Colorizing the Prokudin-Gorskii Photo Collection Nanxi Wang. Project Overview. A pioneer in color photography, Sergey Prokudin-Gorskii travelled the Russian Empire, taking three-image color photography of the people and places he saw. The goal of this project was to align the three color channels of Prokudin-Gorskii's work ...Part 1: Rectification. In part 1 one I rectify images. This involves finding the homography (a perspective transform), between two images. By specifying 3 corner points on the original image, then warping it to be a square, a homography can be found. This homography, when applied to the original image, gives you a result of seeing the object ...First, show the partial derivative in x and y of the cameraman image by convolving the image with finite difference operators D_x and D_y (you can use convolve2d from scipy.signal library). Now compute and show the gradient magnitude image. To turn this into an edge image, lets binarize the gradient magnitude image by picking the appropriate ...CS 194-26, Fall 2021 Project 5 Charles Sun. Part 1: Nose Tip Detection. I created a Dataset class to lead the images downscaled to 80x60. Here are some example images: Then I created a CNN class that takes in a bunch of different hyperparameters so I can sweep over.CS 194-26: Computational Photography, Fall 2018 Project 4: Face Morphing Varsha Ramakrishnan, CS194-26-aei. Overview. In this project, we computed a morph sequence of faces by first defining a set of points on two faces, then calculating the warp between both those faces and a median face, and finally warping at different proportions of each ...I really like the study in the 194-26, and the projects are very interesting. Most importantly, by project, I learn many practical skills and implement many works I cannot imagine. Take the image style transfer, I learn a lot methods to build the CNN, which is very popular now and I am excited to learn it.Spring: 2.0 hours of lecture, 1.0 hours of discussion, and 4.0 hours of laboratory per week. Grading basis: letter. Final exam status: Written final exam conducted during the scheduled final exam period. Class Schedule (Spring 2024): CS 10 - MoWe 13:00-13:59, Soda 306 - Dan Garcia. Class Schedule (Fall 2024): CS 10 - MoWe 13:00-13:59 ...Undergraduate Catalog 2024–2025 ›. Courses A - Z ›. CS - Computer Science. CS - Computer Science. For a computer science course to be used as a prerequisite, it must have been passed with a C- or better. Courses numbered 100 to 299 = lower-division; 300 to 499 = upper-division; 500 to 799 = undergraduate/graduate. CS 211.NAME: SID#: Section: 1 CS 194-10 Introduction to Machine Learning Fall 2011 Stuart Russell Midterm You have 80 minutes. The exam is open-book (class-designated reading materials only), open-notes. 80 points total. Panic not. Mark your answers ON THE EXAM ITSELF. Write your name, SID, and section number at the top of each sheet.Here, x is the input we optimize, p is the original content image, and a is the original style image. The values of alpha and beta represent how we are weighting the importance of matching content vs matching style. For instance, a relatively higher alpha and lower beta would mean content loss has greater impact on total loss, so we care more about minimizing content loss and our resulting x ...CS 194-10 is a new undergraduate machine learning course designed to complement CS 188, which covers all areas of AI. Eventually it will become CS 189. The main prerequisite is CS 188 or consent of the instructor; students are assumed to have lower-division mathematical preparation including CS 70 and Math 54. The course will be a mixture of ...Course Reviews Fall 2021, CS 161, CS 162, CS W186, CS 194-177 (DeFi), MATH 128A. CS 161 (Raluca Ada Popa, Nicholas Weaver): Rating: 8.5/10. Workload: ~4-5 hrs per week, ~10-15 during exam weeks and proj2. Pros: • Probably the lowest workload upper div CS class. • Fun and interesting projects, 1 and 3 are not time consuming at all and can be ...Programming Languages and Compilers. CS 164 @ UC Berkeley, Fall 2021. Home; Syllabus; Schedule; Staff; Software; FAQ; Piazza; Gradescope; This is the Fall 2021 website. CS294/194-196 Responsible GenAI and Decentralized Intelligence. CS294/194-196: Responsible GenAI and Decentralized Intelligence. Students interested in the course should first try enrolling in the course in CalCentral. The class number for CS194-196 is 32397. The class number for CS294-196 is 32392. Please join the waitlist if the class is full. Introduction to Parallel Programming. Instructor: Kathy Yelick (send email), Office Hours Fridays 3-4 pm on zoom (sign up here) TAs: Alok Tripathy ( send email ), Office Hours M, Th 1-2pm PT in Soda 569. Alex Reinking ( send email ), Office Hours F 11am-12pm PT on zoom. Lectures: M-W 2-3:00pm in 306 Soda (will also be webcast on zoom and recorded) Undergraduate Catalog 2024–2025 ›. Courses A - Z ›. CS - Computer Science. CS - Computer Science. For a computer science course to be used as a prerequisite, it must have been passed with a C- or better. Courses numbered 100 to 299 = lower-division; 300 to 499 = upper-division; 500 to 799 = undergraduate/graduate. CS 211.CS 194-26 Fall 2022 Constance Shi and Ryan Zhao Artistic Style Transfer. Overview. In this project, we reimplemented Artistic Style Transfer based on the 2016 and updated 2017 versions of the paper "A Neural Algorithm of Artistic Style" by Gatys et. al.I got errors like "UnityEditor.BuildPlayerWindow+BuildMethodException: 2 errors at UnityEditor.BuildPlayerWindow+DefaultBuildMethods.BuildPlayer (UnityEditor.BuildPlayerOptions options) [0x00242] in C:\buildslave\unity\build\Editor\Mono\BuildPlayerWindowBuildMethods.cs:194 at UnityEditor.BuildPlayerWindow.CallBuildMethods (System.Boolean ...CalCentral is a new resource for the UC Berkeley community. Getting started with CalCentral. Student, Staff, and Faculty Create CalNet ID - opens in new window. Undergraduate Admits (Prior to accepting admission offer)Part 3: Train With Larger Dataset. In the last part of this project I train on a much larger (and messier) dataset: ibug face in the wild. This dataset of 6666 images is annotated with bounding boxes around the relavant face in the image, as well as 68 facial keypoints. This means some of the preprocessing involves finding the relative offsets ...I really enjoyed CS 194! This is a collection of my two final projects. Final Project 1: Poor Man's AR. This AR application is very basic. I will use a small box that I made and marked. Then I will put a AR box on it! Setup. I started by setting up my box and making a small video. Keypoints with known 3D world coordinatesCS 194-26 Fall 2021 - Project 5 Facial Keypoint Detection with Neural Networks George Gikas Part 1: Nose Tip Detection. For the first part, I implemented nose tip detection by …Notice that the triangulation mapping is the same between images; we want to compute the triangulation simplices (the indices of points used in each triangle) for only one face and reuse it for any other faces, so that each point corresponds to the same feature, and each triangle corresponds to each set of features; otherwise, the triangulation may be computed differently for each face, and ...Mar 12, 2023 ... UCB CS 194-24 - Lecture 1, 视频播放量120、弹幕量0、点赞数0、投硬币枚数0、收藏人数0、转发人数0, 视频作者CoconanBY, 作者简介，相关视频：UCB ...CS 194-26 Project 2 Building a Pinhole Camera. Roshni Iyer cs194-26-abc. Kate Shijie Xu cs194-26-abf. In this project, we created a pinhole camera (or "camera obscura"). The pinhole camera is a dark box with a pinhole on one face, and a white screen on the opposite face. ...This part was definitely the hardest part. Considering that I decided to use some tracking algorithms from OpenCV without having any prior knowledge in them, I had to program using it as a "Black Box" API. The class's facilitators recommended the use of the MedianFlow Tracker, which has good characteristics to represent things that don't really move in their own, but the camera moves ...CS 194-015. Parallel Programming. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor.CS 194-10, Fall 2011 Assignment 1 This assignment is to be done individually or in pairs. The goal is to gain experience with applying some simple learning methods to real data, where the quality of the learned model actually matters, as well as the estimate of the prediction uncertainty. When you are ready, submit a1 as described here. 1.CS 194-26: Intro to Computer Vision and Computational Photography, Fall 2021 Project 2: Fun with Filters and Frequencies! William Wang. Part 1: Fun with Filters! Finite Difference Operator. The first filters we use are the finite difference operators. To do this, we convolve the original image with the difference operators, which gets our ...Part 2: Feature Matching for Autostitching. In this part, instead of manually defining correspondences between the images of a mosaic, I implemented an automatic method as described in the paper Multi-Image Matching using Multi-Scale Oriented Patches. In addition, I used RANSAC to determine an optimal homography matrix between the images.Courses. CS194_4349. CS 194-035. Data Engineering. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. … Introduction to Parallel Programming. Instructor: Kathy Yelick (send email), Office Hours Fridays 3-4 pm on zoom (sign up here) TAs: Alok Tripathy ( send email ), Office Hours M, Th 1-2pm PT in Soda 569. Alex Reinking ( send email ), Office Hours F 11am-12pm PT on zoom. Lectures: M-W 2-3:00pm in 306 Soda (will also be webcast on zoom and recorded) CS 194-26 Project #4: Face Morphing Yue Zheng. Overview. In this project, we explore the techniques of face morphing. A morph is a simultaneous warp of the image shape and a cross-dissolve of the image colors. Using what we have learned in class, we produce a "morph" animation of our faces into someone else's face, compute the mean of a ...It typically takes a few hours for you to be added after you've completed this form at which point you'll receive a notification from Github using whatever email/notification …CS 194-26 Project 3: Face Morphing Ashley Chang. Part 1. Defining Correspondences. First we start with defining pairs of corresponding points on the two images: Next, we compute the Delaunay triangulation on the midway shape (i.e. mean of the two point sets): Part 2. Computing the "Mid-way Face"CS 194-10 is a new undergraduate machine learning course designed to complement CS 188, which covers all areas of AI. Eventually it will become CS 189. The main prerequisite is CS 188 or consent of the instructor; students are assumed to have lower-division mathematical preparation including CS 70 and Math 54. The course will be a mixture of ...Course Requirements Lower Division Prerequisites . CS 61A, 61B/61BL, 61C; CS70; Upper Division Requirements . Three upper-division courses in CS or EECS¹ ². ¹CS199, 198, 197, 195, select 194, and various seminars and EE upper divs do not count.Approved 194 & graduate courses are posted here.Oct 2: Advanced model learning and images (Guest lecture: Chelsea Finn) Slides. Oct 4: Connection between inference and control (Levine) Slides. Homework 3 is due, Homework 4 is out: Model Based RL. Oct 9: Inverse reinforcement learning (Levine) Slides. Project proposal is due. Oct 11: Advanced policy gradients (natural gradient, importance ...CS 194-26 Project 3. Face Morphing Joshua Chen. Part 1. Defining Correspondences. In order to morph the shapes of two images together, we first need to select ...The “5 C’s” of Arizona are cattle, climate, cotton, copper and citrus. Historically, these five elements were critical to the economy of the state of Arizona, attracting people fro...CS-1: Child Assessment and Service Plan: Instructions 04/12: Case Management: Yes : CS-2A: Incarcerated Parent's Child Status Report : Case Management : 09/10: CS-9: ... CD-194: Resource Provider Health Insurance Portability and Accountability Information : HIPAA : 08/12: MO 886-4061 Spanish:The advent and development of Machine learning and Deep Neural Networks has caused many AI pioneers and authorities to debate whether machines will be capable of reaching the pinnacles of human mind: innovation, creativity, and imagination.Oct 2: Advanced model learning and images (Guest lecture: Chelsea Finn) Slides. Oct 4: Connection between inference and control (Levine) Slides. Homework 3 is due, Homework 4 is out: Model Based RL. Oct 9: Inverse reinforcement learning (Levine) Slides. Project proposal is due. Oct 11: Advanced policy gradients (natural gradient, importance ...Here you will find all the necessary information on the server #1潇洒<<粤※港※澳>>娱乐专场【自选皮肤】: server address (14.21.37.194:27015), server statistics, top players, current server map, statistics on players and maps on the server, server admin info. If you like this server, you can like the server or add the server to ... Facial Keypoint Detection with Neural Networks. George Gikas. Part 1: Nose Tip Detection. For the first part, I implemented nose tip detection by creating a neural net with 4 convolutional layers ranging from 12-32 output channels followed by two fully connected layers that produced two values, the x and y coordinates of the nose tip. CS 194-26: Intro to Computer Vision and Computational Photography, Fall 2021 Project 3: Face Morphing Eric Zhu. Overview. In this project, I morphed faces into each other by matching up the shape of the face through key points and then averaging the color from each original image together. We used triangulation of the key points to find the ... CIS 194: Introduction to Haskell (Spring 2013) Mondays 1:30-3 Towne 309. Class Piazza site. Instructor: Brent Yorgey. Email: byorgey at cis; Office: Levine 513; Office hours: Friday 2-4pm; TAs: Adi Dahiya (office hours: Thursdays 1-3pm, Moore 100) Zach Wasserman (office hours: Thursdays 12-1pm, Moore 100) Course Description The homography matrix is defined as the matrix H that allows us to relate a set of corresponding points in the images. In the equation above, p represents a point in your first image and p' represents a point in the second image scaled by a factor of w. The bottom right value in the matrix of H is set to 1 as it determines the scaling factor. CIS 194: Introduction to Haskell (Spring 2013) Mondays 1:30-3 Towne 309. Class Piazza site. Instructor: Brent Yorgey. Email: byorgey at cis; Office: Levine 513; Office hours: Friday 2-4pm; TAs: Adi Dahiya (office hours: Thursdays 1-3pm, Moore 100) Zach Wasserman (office hours: Thursdays 12-1pm, Moore 100) Course Description I got errors like "UnityEditor.BuildPlayerWindow+BuildMethodException: 2 errors at UnityEditor.BuildPlayerWindow+DefaultBuildMethods.BuildPlayer (UnityEditor.BuildPlayerOptions options) [0x00242] in C:\buildslave\unity\build\Editor\Mono\BuildPlayerWindowBuildMethods.cs:194 at UnityEditor.BuildPlayerWindow.CallBuildMethods (System.Boolean ...Light Field Camera; Triangulation Matting and Compositing; Gradient Domain Fusioninst.eecs.berkeley.edu

I'm currently a full-time SW engineer at Microsoft. More specifically, I work on the back-end sync service for Microsoft Azure Active Directory. I graduated from UC Berkeley with a BS in EECS in Spring, 2017. My favorite CS subjects are image manipulation (CS 194-26) and graphics (CS 184). In my free time I like to cook, play volleyball, and .... Restaurants in winchester tn

cs 194

CalCentral is a new resource for the UC Berkeley community. Getting started with CalCentral. Student, Staff, and Faculty Create CalNet ID - opens in new window. Undergraduate Admits (Prior to accepting admission offer)Muhab Abdelgadir CS 194-26. Poor Man's Augmented Reality. The goal of this project is to take videos of boxes that have 3D grids on them, to set the points manually for the first frame, and to let the computer finish. This is indeed a Poor Man's Augmented Reality. Here is the initial video.CS194_4407. CS 194-080. Full Stack Deep Learning. Catalog Description: Topics will vary semester to semester. See the Computer Science Division announcements. Units: 1-4. Prerequisites: Consent of instructor. Formats: Summer: 2.0-8.0 hours of lecture per week Fall: 1.0-4.0 hours of lecture per week Spring: 1.0-4.0 hours of lecture per week.CS 194-26 Final Project. Evan McNeil and Shreyas Krishnaswamy. Overview. For our final project, we completed the Light Field Camera, Seam Carving, and Tour Into the Picture Projects. I. Light Field Camera Overview.A CS 194-26 project by Kevin Lin, cs194-26-aak. While the human eye can perceive a wide field-of-view, most cameras only record images at a narrow field of view. We simulate wide field-of-view panoramas with digital …CAMERAS: Although it is not required, students are highly …COMPSCI 194-26: Project 1 Kaijie Xu [email protected] Background. In this project, we manage to do edge detection using finite difference operators with and without gaussian filters. Then, we use the gaussian filters to "sharpen" images and see whether the action could resharpen a blurred image. We also use high pass and low pass filters to ...CS 194-10, F'11 Lect. 5 Binary Classification Regularization and Robustness Linear classification Using the training data set fx i;y i g n =1, our goal is to find a classification rule y^ = f(x) allowing to predict the label y^ of a new data point x. Linear classification rule: assumes f is a combination of the signFollowing UPenn's 2013 notes for CIS 194: Introduction to Haskell - GitHub - ryanprince/CIS-194: Following UPenn's 2013 notes for CIS 194: Introduction to HaskellThe CS-71.1 is only used when one parent has 100 percent of the total income for the family. When printing these forms, you must also print a copy of the Child Support Guidelines Table to complete the worksheet. CS-71 - Worksheet For Monthly Child Support Obligation; CS-71.1 - Worksheet For Monthly Child Support Obligation ExceptionOverview. In the early 1900s, Sergei Mikhailovich Prokudin-Gorskii photographed scenes using red, green, and blue glass filters, with the intent of them being projected and combined to create color images in “multimedia” classrooms all across Russia. Part 1.1: Finite Difference Operator. The first way is to obtain the partial derivatives of an image in both the x and y directions. We do this by convolving the images with the difference operators D_x and D_y. Then, we use the partial derivatives of the image to calculate the gradient magnitude. We can also obtain the edge image by binarizing ... Every comment from the Fed will be dissected ad nauseum as monetary policy seems to be the only thing that matters in this market right now....CS It is now just over a year since t...Find HHC, 194th Combat Sustainment Support Battalion unit information, patches, operation history, veteran photos and more on TogetherWeServed.com. TWS is the largest online community of Veterans existing today and is a powerful Veteran locator. If you served in HHC, 194th Combat Sustainment Support Battalion, Join TWS for free to reconnect with service friends.Discover alternative approaches to lower blood pressure beyond what medications & diet do. Learn about innovative strategies for managing hypertension. National Center 7272 Greenvi...COMPSCI 194-26: Project 3 Kaijie Xu [email protected] Background. In this project, I create morphs between images and play around with image warping. My first morphing animation entails a picture of myself morphed into Depp. Defining Correspondences. The first step is to define points for the two images I am trying to morphCS 194-26: Image Manipulation and Computational Photography Fun With Frequencies and Gradients. By: Alex Pan. Image Sharpening. As a warm-up for the rest of this project, we will start by performing a relatively simple process: sharpening images. To do this, we will use the unsharp mask filter technique: Facial Keypoint Detection with Neural Networks. George Gikas. Part 1: Nose Tip Detection. For the first part, I implemented nose tip detection by creating a neural net with 4 convolutional layers ranging from 12-32 output channels followed by two fully connected layers that produced two values, the x and y coordinates of the nose tip. CS 194-10, F'11 Lect. 5 Binary Classification Regularization and Robustness Linear classification Using the training data set fx i;y i g n =1, our goal is to find a classification rule y^ = f(x) allowing to predict the label y^ of a new data point x. Linear classification rule: assumes f is a combination of the sign.

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