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» Probabilistic Neural Network Models for Sequential Data
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MICRO
2006
IEEE
145views Hardware» more  MICRO 2006»
14 years 1 months ago
Virtually Pipelined Network Memory
We introduce virtually-pipelined memory, an architectural technique that efficiently supports high-bandwidth, uniform latency memory accesses, and high-confidence throughput eve...
Banit Agrawal, Timothy Sherwood
IJCV
2002
188views more  IJCV 2002»
13 years 7 months ago
Scalable Extrinsic Calibration of Omni-Directional Image Networks
We describe a linear-time algorithm that recovers absolute camera orientations and positions, along with uncertainty estimates, for networks of terrestrial image nodes spanning hun...
Matthew E. Antone, Seth J. Teller
IROS
2009
IEEE
129views Robotics» more  IROS 2009»
14 years 2 months ago
Lane boundary and curb estimation with lateral uncertainties
— This paper describes an algorithm for estimating lane boundaries and curbs from a moving vehicle using noisy observations and a probabilistic model of curvature. The primary co...
Albert S. Huang, Seth J. Teller
RECOMB
2010
Springer
13 years 6 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
CVIU
2004
125views more  CVIU 2004»
13 years 7 months ago
Automatic description of complex buildings from multiple images
We present an approach for detecting and describing complex buildings with flat or complex rooftops by using multiple, overlapping images of the scene. We find 3-D rooftop boundar...
Zu Whan Kim, Ramakant Nevatia