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CVPR
2007
IEEE
14 years 7 months ago
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data
A popular approach to problems in image classification is to represent the image as a bag of visual words and then employ a classifier to categorize the image. Unfortunately, a si...
Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukt...
ICPR
2010
IEEE
13 years 5 months ago
Decision Fusion for Patch-Based Face Recognition
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
Berkay Topcu, Hakan Erdogan
DAGM
2006
Springer
13 years 9 months ago
Properties of Patch Based Approaches for the Recognition of Visual Object Classes
Abstract. Patch based approaches have recently shown promising results for the recognition of visual object classes. This paper investigates the role of different properties of pat...
Alexandra Teynor, Esa Rahtu, Lokesh Setia, Hans Bu...
CVPR
2003
IEEE
14 years 7 months ago
3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints
: This paper presents a novel representation for three-dimensional objects in terms of affine-invariant image patches and their spatial relationships. Multi-view constraints associ...
Fred Rothganger, Svetlana Lazebnik, Cordelia Schmi...
CVPR
2007
IEEE
14 years 7 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater