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129
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SCVMA
2004
Springer
15 years 9 months ago
A Generative Model of Dense Optical Flow in Layers
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
125
Voted
SEUS
2009
IEEE
15 years 10 months ago
Concurrency and Communication: Lessons from the SHIM Project
Abstract. Describing parallel hardware and software is difficult, especially in an embedded setting. Five years ago, we started the shim project to address this challenge by develo...
Stephen A. Edwards
171
Voted
AAAI
2010
15 years 5 months ago
A Layered Approach to People Detection in 3D Range Data
People tracking is a key technology for autonomous systems, intelligent cars and social robots operating in populated environments. What makes the task difficult is that the appea...
Luciano Spinello, Kai Oliver Arras, Rudolph Triebe...
225
Voted

Book
534views
17 years 1 months ago
Neural Networks - A Systematic Introduction
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
Raul Rojas
149
Voted
WCNC
2008
IEEE
15 years 10 months ago
On Spatial Reuse and Capture in Ad Hoc Networks
—Neighbors of both the transmitter and the receiver must keep quiet in a 802.11 wireless network as it requires bidirectional exchange, i.e., nodes reverse their roles as transmi...
Naveen Santhapuri, Srihari Nelakuditi, Romit Roy C...