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NIPS
2004
13 years 10 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
JMLR
2012
11 years 11 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...

Publication
110views
13 years 7 months ago
EM in High Dimensional Spaces
B. Draper, D.L. Elliott, J. Hayes, and K. Baek
CVPR
2012
IEEE
12 years 1 months ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
ISBI
2006
IEEE
14 years 9 months ago
Incremental learning for segmentation in medical images
Hand-coded vision systems are problematic in complex medical domains and are hard to change as new information emerges. Knowledge-Engineering and Machine Learning approaches to in...
Avishkar Misra, Arcot Sowmya, Paul Compton