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» OCR with No Shape Training
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92
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FLAIRS
2010
15 years 3 months ago
Learning to Identify and Track Imaginary Objects Implied by Gestures
A vision-based machine learner is presented that learns characteristic hand and object movement patterns for using certain objects, and uses this information to recreate the "...
Andreya Piplica, Alexandra Olivier, Allison Petros...
97
Voted
SDM
2007
SIAM
121views Data Mining» more  SDM 2007»
15 years 2 months ago
Mining Visual and Textual Data for Constructing a Multi-Modal Thesaurus
We propose an unsupervised approach to learn associations between continuous-valued attributes from different modalities. These associations are used to construct a multi-modal t...
Hichem Frigui, Joshua Caudill
NIPS
1997
15 years 2 months ago
Just One View: Invariances in Inferotemporal Cell Tuning
In macaque inferotemporal cortex (IT), neurons have been found to respond selectively to complex shapes while showing broad tuning (“invariance”) with respect to stimulus tran...
Maximilian Riesenhuber, Tomaso Poggio
158
Voted
IVC
2006
259views more  IVC 2006»
15 years 22 days ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao
110
Voted
PAMI
2008
250views more  PAMI 2008»
15 years 21 days ago
Combined Top-Down/Bottom-Up Segmentation
We construct an image segmentation scheme that combines top-down (TD) with bottom-up (BU) processing. In the proposed scheme, segmentation and recognition are intertwined rather th...
Eran Borenstein, Shimon Ullman