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TVCG
2011
274views more  TVCG 2011»
14 years 6 months ago
Memory-Scalable GPU Spatial Hierarchy Construction
We present two novel algorithms for constructing spatial hierarchies on GPUs. The first is for kd-trees that automatically balances between the level of parallelism and total mem...
Qiming Hou, Xin Sun, Kun Zhou, Christian Lauterbac...
CVPR
2009
IEEE
16 years 7 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 1 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
CIVR
2007
Springer
273views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Scalable near identical image and shot detection
This paper proposes and compares two novel schemes for near duplicate image and video-shot detection. The first approach is based on global hierarchical colour histograms, using ...
Ondrej Chum, James Philbin, Michael Isard, Andrew ...
CIKM
2010
Springer
14 years 10 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...