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» Algorithms for Challenging Motif Problems
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IJRR
2010
135views more  IJRR 2010»
15 years 1 months ago
On the Design and Use of a Micro Air Vehicle to Track and Avoid Adversaries
The MAV '08 competition focused on the problem of using air and ground vehicles to locate and rescue hostages being held in a remote building. To execute this mission, a numbe...
Ruijie He, Abraham Bachrach, Michael Achtelik, Alb...
CVPR
2009
IEEE
16 years 11 months ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
ICCV
2003
IEEE
16 years 6 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
16 years 5 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
159
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KDD
2007
ACM
206views Data Mining» more  KDD 2007»
16 years 5 months ago
Automatic labeling of multinomial topic models
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai