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» Learning Statistical Structure for Object Detection
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MLDM
2005
Springer
14 years 1 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
CVPR
2009
IEEE
15 years 2 months ago
Granularity-tunable Gradients Partition (GGP) Descriptors for Human Detection
This paper proposes a novel descriptor, granularitytunable gradients partition (GGP), for human detection. The concept granularity is used to define the spatial and angular unce...
Yazhou Liu (Harbin Institute of Technology), Shigu...
POPL
2007
ACM
14 years 7 months ago
Cork: dynamic memory leak detection for garbage-collected languages
A memory leak in a garbage-collected program occurs when the program inadvertently maintains references to objects that it no longer needs. Memory leaks cause systematic heap grow...
Maria Jump, Kathryn S. McKinley
CDC
2008
IEEE
104views Control Systems» more  CDC 2008»
14 years 2 months ago
A structured multiarmed bandit problem and the greedy policy
—We consider a multiarmed bandit problem where the expected reward of each arm is a linear function of an unknown scalar with a prior distribution. The objective is to choose a s...
Adam J. Mersereau, Paat Rusmevichientong, John N. ...
ECCV
2010
Springer
13 years 5 months ago
Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection
Abstract. This paper presents a novel descriptor for human detection in video sequence. It is referred to as spatial-temporal granularity -tunable gradients partition (STGGP), whic...
Yazhou Liu, Shiguang Shan, Xilin Chen, Janne Heikk...