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TMM
2010
115views Management» more  TMM 2010»
15 years 1 months ago
Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study
Based on the local keypoints extracted as salient image patches, an image can be described as a "bag-of-visualwords (BoW)" and this representation has appeared promising ...
Yu-Gang Jiang, Jun Yang 0003, Chong-Wah Ngo, Alexa...
155
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IJCNN
2008
IEEE
16 years 1 months ago
Spatiotemporal feature extraction based on invariance representation
— This paper investigates spatiotemporal feature extraction from temporal image sequences based on invariance representation. Invariance representation is one of important functi...
Wenlu Yang, Liqing Zhang
NIPS
2008
15 years 8 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
IJCV
2008
241views more  IJCV 2008»
15 years 6 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
ICECCS
2005
IEEE
125views Hardware» more  ICECCS 2005»
16 years 12 days ago
Model Checking Live Sequence Charts
Live Sequence Charts (LSCs) are a broad extension to Message Sequence Charts (MSCs) to capture complex interobject communication rigorously. A tool support for LSCs, named PlayEng...
Jun Sun 0001, Jin Song Dong