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» Labeling Points with Weights
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ICML
2009
IEEE
16 years 1 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
ICIP
1998
IEEE
16 years 7 months ago
A Deformable Model for Human Organ Extraction
We present a modi cation of the well-known snakes algorithm for extracting contours in noisy images. Our modi cation addresses the issues of selection of the control points on an ...
Jean Gao, Akio Kosaka, Avinash C. Kak
DM
2008
104views more  DM 2008»
15 years 6 months ago
On edge-weighted recursive trees and inversions in random permutations
We introduce random recursive trees, where deterministically weights are attached to the edges according to the labeling of the trees. We will give a bijection between recursive t...
Markus Kuba, Alois Panholzer
BMCBI
2010
117views more  BMCBI 2010»
15 years 6 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski
IVS
2007
140views more  IVS 2007»
15 years 6 months ago
Fast point-feature label placement for dynamic visualizations
This paper describes a fast approach to automatic point label de-confliction on interactive maps. The general Map Labeling problem is NP-hard and has been the subject of much stud...
Kevin Mote