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IJCV
2008
192views more  IJCV 2008»
13 years 5 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
BMCBI
2007
144views more  BMCBI 2007»
13 years 5 months ago
Automatic delineation of malignancy in histopathological head and neck slides
Background: Histopathology, which is one of the most important routines of all laboratory procedures used in pathology, is decisive for the diagnosis of cancer. Experienced histop...
Mutlu Mete, Xiaowei Xu, Chun-Yang Fan, Gal Shafirs...
TIP
2008
344views more  TIP 2008»
13 years 5 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
CHI
2004
ACM
14 years 6 months ago
Categorical imperative NOT: facial affect is perceived continuously
Facial affect (or emotion) recognition is a central issue for many VMC and naturalistic computing applications. Most computational models assume "categorical perception"...
Diane J. Schiano, Sheryl M. Ehrlich, Kyle Sheridan
KDD
2006
ACM
174views Data Mining» more  KDD 2006»
14 years 6 months ago
Onboard classifiers for science event detection on a remote sensing spacecraft
Typically, data collected by a spacecraft is downlinked to Earth and pre-processed before any analysis is performed. We have developed classifiers that can be used onboard a space...
Ashley Davies, Benjamin Cichy, Dominic Mazzoni, Ng...