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» Embedding Heterogeneous Data Using Statistical Models
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DAC
2003
ACM
16 years 1 months ago
Design techniques for sensor appliances: foundations and light compass case study
We propose the first systematic, sensor-centric approach for quantitative design of sensor network appliances. We demonstrate its use by designing light appliance devices and the ...
Jennifer L. Wong, Seapahn Megerian, Miodrag Potkon...
122
Voted
SCALESPACE
2001
Springer
15 years 5 months ago
Scale-Time Kernels and Models
Receptive field sensitivity profiles of visual front-end cells in the LGN and V1 area in intact animals can be measured with increasing accuracy, both in the spatial and temporal...
Bart M. ter Haar Romeny, Luc Florack, Mads Nielsen
ALMOB
2006
155views more  ALMOB 2006»
15 years 19 days ago
A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...
Jonathan E. Allen, Steven L. Salzberg
CVPR
2005
IEEE
16 years 2 months ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black
CVPR
2007
IEEE
16 years 2 months ago
A Nonparametric Treatment for Location/Segmentation Based Visual Tracking
In this paper, we address two closely related visual tracking problems: 1) localizing a target's position in low or moderate resolution videos and 2) segmenting a target'...
Le Lu, Gregory D. Hager