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» Learning Hyper-Features for Visual Identification
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NIPS
2004
13 years 8 months ago
Learning Hyper-Features for Visual Identification
We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
ICCV
2005
IEEE
14 years 8 months ago
Building a Classification Cascade for Visual Identification from One Example
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...
ICMCS
2005
IEEE
94views Multimedia» more  ICMCS 2005»
14 years 5 days ago
Video Frame Identification for Learning Media Content Understanding
This paper presents our latest work on identifying frame content types for understanding learning media content. In particular, we categorize frames into six classes namely, slide...
Ying Li, Chitra Dorai
CEAS
2007
Springer
14 years 23 days ago
A Discriminative Classifier Learning Approach to Image Modeling and Spam Image Identification
We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam c...
Byungki Byun, Chin-Hui Lee, Steve Webb, Calton Pu
PAMI
2007
137views more  PAMI 2007»
13 years 6 months ago
Biometrics from Brain Electrical Activity: A Machine Learning Approach
—The potential of brain electrical activity generated as a response to a visual stimulus is examined in the context of the identification of individuals. Specifically, a framewor...
Ramaswamy Palaniappan, Danilo P. Mandic