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» Objective reduction using a feature selection technique
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IJCAI
2007
15 years 5 months ago
Common Sense Based Joint Training of Human Activity Recognizers
Given sensors to detect object use, commonsense priors of object usage in activities can reduce the need for labeled data in learning activity models. It is often useful, however,...
Shiaokai Wang, William Pentney, Ana-Maria Popescu,...
CVPR
2003
IEEE
16 years 5 months ago
Multi-scale Phase-based Local Features
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
Gustavo Carneiro, Allan D. Jepson
149
Voted
EVOW
2006
Springer
15 years 7 months ago
Supervised Genetic Search for Parameter Selection in Painterly Rendering
This paper investigates the feasibility of evolutionary search techniques as a mechanism for interactively exploring the design space of 2D painterly renderings. Although a growing...
John P. Collomosse
116
Voted
ICCV
2007
IEEE
16 years 5 months ago
Discriminant Embedding for Local Image Descriptors
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
Gang Hua, Matthew Brown, Simon A. J. Winder
155
Voted
VTC
2008
IEEE
139views Communications» more  VTC 2008»
15 years 10 months ago
Downlink Steered Space-Time Spreading For Multi-Carrier Transmission Over Frequency Selective Channels
— This paper presents a novel amalgam of Steered Space-Time Spreading (SSTS) and Orthogonal Frequency Division Multiple Access (OFDMA) designed for attaining both spatial diversi...
Nazar Sahal, Mohammed El-Hajjar, Lajos Hanzo