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» Probabilistic Object Tracking Using Multiple Features
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ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
15 years 2 months ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
ICML
2009
IEEE
14 years 10 months ago
Partial order embedding with multiple kernels
We consider the problem of embedding arbitrary objects (e.g., images, audio, documents) into Euclidean space subject to a partial order over pairwise distances. Partial order cons...
Brian McFee, Gert R. G. Lanckriet
CIKM
2010
Springer
13 years 8 months ago
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification
:  Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
VL
2002
IEEE
165views Visual Languages» more  VL 2002»
14 years 2 months ago
Co-Ordination of Multiple External Representations during Java Program Debugging
Java program debugging was investigated in computer science students who used a software debugging environment (SDE) that provided concurrently displayed, adjacent, multiple and l...
Pablo Romero, Rudi Lutz, Richard Cox, Benedict du ...
CVPR
2012
IEEE
11 years 11 months ago
An online learned CRF model for multi-target tracking
We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike ...
Bo Yang, Ram Nevatia