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» Unsupervised Learning of Invariant Features Using Video
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CVPR
2010
IEEE
14 years 4 months ago
Online Visual Vocabulary Pruning Using Pairwise Constraints
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
Pavan Mallapragada, Rong Jin and Anil Jain
PR
2006
120views more  PR 2006»
13 years 7 months ago
Alternative learning vector quantization
In this paper, we discuss the influence of feature vectors contributions at each learning time t on a sequential-type competitive learning algorithm. We then give a learning rate ...
Kuo-Lung Wu, Miin-Shen Yang
CVPR
2010
IEEE
14 years 3 months ago
Visual Event Recognition in Videos by Learning from Web Data
We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new...
Lixin Duan, Dong Xu, Wai-Hung Tsang, Jiebo Luo
ICML
2010
IEEE
13 years 8 months ago
A Theoretical Analysis of Feature Pooling in Visual Recognition
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
Y-Lan Boureau, Jean Ponce, Yann LeCun
PAAPP
2007
398views more  PAAPP 2007»
13 years 7 months ago
Counting people using video cameras
The paper is devoted to the problem of estimating the number of people visible in a camera. It uses as features a portion of foreground pixels in each cell of a rectangular grid. ...
Damian Roqueiro, Valery A. Petrushin