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» Modeling High-Order Dependencies in Local Appearance Models
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CVPR
2011
IEEE
15 years 2 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
ALGOSENSORS
2009
Springer
16 years 24 days ago
Compressing Kinetic Data from Sensor Networks
We introduce a framework for storing and processing kinetic data observed by sensor networks. These sensor networks generate vast quantities of data, which motivates a significant...
Sorelle A. Friedler, David M. Mount
CVPR
2008
IEEE
16 years 8 months ago
Nonlinear image representation using divisive normalization
In this paper, we describe a nonlinear image representation based on divisive normalization that is designed to match the statistical properties of photographic images, as well as...
Siwei Lyu, Eero P. Simoncelli
INFOCOM
2007
IEEE
16 years 14 days ago
Losing Opportunism: Evaluating Service Integration in an Opportunistic Wireless System
Abstract— In this paper we evaluate interactions among flowlevel performance metrics when integrating QoS and best effort flows in a wireless system using opportunistic schedul...
Hongseok Kim, Gustavo de Veciana
HAPTICS
2005
IEEE
15 years 11 months ago
The Effect of Fingertip Microstructures on Tactile Edge Perception
People rely on tactile edge localization to ascertain the location and structure of edges. When pressure is applied to the skin, skin mechanoreceptors convert compressive stress/s...
Gregory J. Gerling, Geb W. Thomas