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» Object Recognition from Local Scale-Invariant Features
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ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
115
Voted
CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...
214
Voted
ACCV
2010
Springer
15 years 4 months ago
Abstraction and Generalization of 3D structure for recognition in large intra-class variation
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
Gowri Somanath, Chandra Kambhamettu
CVPR
2006
IEEE
16 years 5 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
123
Voted
INTERSPEECH
2010
14 years 10 months ago
Direct construction of compact context-dependency transducers from data
This paper describes a new method for building compact context-dependency transducers for finite-state transducer-based ASR decoders. Instead of the conventional phonetic decision...
David Rybach, Michael Riley