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MM
2004
ACM
151views Multimedia» more  MM 2004»
14 years 3 months ago
Multimodal concept-dependent active learning for image retrieval
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
Kingshy Goh, Edward Y. Chang, Wei-Cheng Lai
ICPR
2002
IEEE
14 years 2 months ago
Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking under Active IR Illumination
Most eye trackers based on active IR illumination require distinctive bright pupil effect to work well. However, due to a variety of factors such as eye closure, eye occlusion, an...
Zhiwei Zhu, Qiang Ji, Kikuo Fujimura, Kuangchih Le...
DEBU
2006
163views more  DEBU 2006»
13 years 9 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
IJCV
2008
191views more  IJCV 2008»
13 years 9 months ago
Searching for Complex Human Activities with No Visual Examples
Abstract We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our ...
Nazli Ikizler, David A. Forsyth
CVPR
2011
IEEE
13 years 5 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman