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» Components for Object Detection and Identification
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CVPR
2005
IEEE
15 years 11 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
CLEF
2007
Springer
15 years 3 months ago
MIRACLE at GeoCLEF Query Parsing 2007: Extraction and Classification of Geographical Information
This paper describes the participation of MIRACLE research consortium at the Query Parsing task of GeoCLEF 2007. Our system is composed of three main modules. First, the Named Geo...
Sara Lana-Serrano, Julio Villena-Román, Jos...
ECCV
2008
Springer
15 years 11 months ago
A Dynamic Conditional Random Field Model for Joint Labeling of Object and Scene Classes
Object detection and pixel-wise scene labeling have both been active research areas in recent years and impressive results have been reported for both tasks separately. The integra...
Christian Wojek, Bernt Schiele
WCRE
2000
IEEE
15 years 2 months ago
Revisiting the Delta IC Approach to Component Recovery
Component recovery supports program understanding, architecture recovery, and re-use. Among the best known techniques for detection of re-usable objects (related global variables ...
Gerardo Canfora, Jörg Czeranski, Rainer Kosch...
CORR
2010
Springer
238views Education» more  CORR 2010»
14 years 9 months ago
Face Identification by SIFT-based Complete Graph Topology
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully us...
Dakshina Ranjan Kisku, Ajita Rattani, Enrico Gross...