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» The Localization Hypothesis and Machines
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MLDM
2007
Springer
14 years 4 months ago
Outlier Detection with Kernel Density Functions
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
DSMML
2004
Springer
14 years 3 months ago
Object Recognition via Local Patch Labelling
Abstract. In recent years the problem of object recognition has received considerable attention from both the machine learning and computer vision communities. The key challenge of...
Christopher M. Bishop, Ilkay Ulusoy
ICIP
2004
IEEE
14 years 11 months ago
A detection-based multiple object tracking method
In this paper we describe a method for tracking multiple objects whose number is unknown and varies during tracking. Based on preliminary results of object detection in each image...
Mei Han, Amit Sethi, Wei Hua, Yihong Gong
ICASSP
2011
IEEE
13 years 1 months ago
Hill climbing on speech lattices: A new rescoring framework
We describe a new approach for rescoring speech lattices — with long-span language models or wide-context acoustic models — that does not entail computationally intensive latt...
Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanje...
ICCV
2011
IEEE
12 years 10 months ago
Key-Segments for Video Object Segmentation
We present an approach to discover and segment foreground object(s) in video. Given an unannotated video sequence, the method first identifies object-like regions in any frame a...
Yong Jae Lee, Jaechul Kim, Kristen Grauman