What are you talking about? Text-to-Image Coreference Chen Kong1 Dahua Lin3 Mohit Bansal3 Raquel Urtasun2,3

Source URL: dahua.me

• Parts of speech
• Grammar
• Linguistic morphology
• Coreference
• Pronoun
• Conference on Computer Vision and Pattern Recognition
• Nominal
• Grammatical case
• Object
• Natural language processing
• Noun class

Scene Constraints-Aided Tracking of Human Body Masanobu Y amamoto and Katsutoshi Y agishita Department of Information Engineering Niigata Universit y 8050, Ikarashi 2-nocho, Niigata, Japan ata-u.

Source URL: www.vision.ie.niigata-u.ac.jp

• Classical mechanics
• Mechanical engineering
• Energy
• Force
• Mechanics
• Work
• Conference on Computer Vision and Pattern Recognition
• Rigid body
• Constraint algorithm
• Holonomic constraints
• Rational motion

Reject Options and Confidence Measures for kNN Classifiers∗ Christoph Dalitz Hochschule Niederrhein Fachbereich Elektrotechnik und Informatik Reinarzstr. 49, 47805 Krefeld, Germany

Source URL: lionel.kr.hs-niederrhein.de

• Statistical inference
• Estimation theory
• Machine learning
• Robust statistics
• K-nearest neighbors algorithm
• Statistical hypothesis testing
• Statistical classification
• Outlier
• Pattern recognition
• Estimator
• Bayes estimator
• Bootstrapping

Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation∗ Shu Liu† Xiaojuan Qi† Jianping Shi♭ †

Source URL: www.cse.cuhk.edu.hk

• Computational neuroscience
• Image processing
• Feature detection
• Image segmentation
• Conference on Computer Vision and Pattern Recognition
• Convolutional neural network
• Memory segmentation
• Artificial neural network
• Computer vision
• Outline of object recognition
• Convolution

Microsoft Word - laubePurves_CEUS06_preVersion.doc

Source URL: www.geo.uzh.ch

• Formal sciences
• Data mining
• Monte Carlo method
• Pattern recognition
• Synthetic data
• Simulation

Learning Discriminative Fisher Kernels Laurens van der Maaten Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, THE NETHERLANDS

Source URL: lvdmaaten.github.io

• Estimation theory
• Machine learning
• Statistical classification
• Fisher kernel
• Categorical data
• Pattern recognition
• Kernel method
• Positive-definite kernel
• Support vector machine
• Maximum likelihood estimation
• Kernel
• Likelihood function

Classification of user postures with capacitive proximity sensors in AAL-environments Tobias Grosse-Puppendahl, Alexander Marinc and Andreas Braun TU Darmstadt, Karolinenplatz 5, 64289 Darmstadt, Germany Fraunhofer IGD,

Source URL: www.grosse-puppendahl.com

• Machine learning
• Statistical classification
• Capacitive sensing
• Wireless sensor network
• Supervised learning
• Pattern recognition
• Classifier
• Data fusion
• Proximity sensor

Dense Multiple View Stereo with General Camera Placement using Tensor Voting Philippos Mordohai and G´erard Medioni Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, CA 9008

Source URL: www.cs.stevens.edu

• Image processing
• Stereoscopy
• Vision
• 3D imaging
• Stereophotogrammetry
• Image rectification
• Computer vision
• Stereopsis
• Tensor
• Conference on Computer Vision and Pattern Recognition
• Epipolar geometry
• Computer stereo vision

EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS Jesse Read, Luca Martino∗ David Luengo∗ Dept. of Signal Theory and Communications

Source URL: perso.telecom-paristech.fr

• Machine learning
• Statistical classification
• Classifier chains
• Multi-label classification
• Pattern recognition
• Support vector machine
• Supervised learning
• Probabilistic classification
• Maximum a posteriori estimation
• Naive Bayes classifier
• Structured support vector machine

19th Portuguese Conference on Pattern Recognition Instituto Superior Técnico, Lisboa November 1st , 2013 Programme Overview

Source URL: w3.ualg.pt