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CAIP
2003
Springer
222views Image Analysis» more  CAIP 2003»
9 years 19 days ago
Learning Statistical Structure for Object Detection
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
Henry Schneiderman
ICPR
2010
IEEE
8 years 11 months ago
Microaneurysm (MA) Detection Via Sparse Representation Classifier with MA and Non-MA Dictionary Learning
Diabetic retinopathy (DR) is a common complication of diabetes that damages the retina and leads to sight loss if treated late. In its earliest stage, DR can be diagnosed by microa...
Bob Zhang, Lei Zhang, Jane You, Fakhri Karray
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
7 years 10 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
ICCV
2009
IEEE
10 years 12 days ago
Modelling Activity Global Temporal Dependencies using Time Delayed Probabilistic Graphical Model
We present a novel approach for detecting global behaviour anomalies in multiple disjoint cameras by learning time delayed dependencies between activities cross camera views. Sp...
Chen Change Loy, Tao Xiang and Shaogang Gong
CORR
2010
Springer
275views Education» more  CORR 2010»
8 years 7 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
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