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ISPD
2004
ACM
189views Hardware» more  ISPD 2004»
14 years 1 months ago
Almost optimum placement legalization by minimum cost flow and dynamic programming
VLSI placement tools usually work in two steps: First, the cells that have to be placed are roughly spread out over the chip area ignoring disjointness (global placement). Then, i...
Ulrich Brenner, Anna Pauli, Jens Vygen
JMLR
2012
11 years 10 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
CVPR
2010
IEEE
14 years 4 months ago
Tiered Scene Labeling with Dynamic Programming
Dynamic programming (DP) has been a useful tool for a variety of computer vision problems. However its application is usually limited to problems with a one dimensional or low tre...
Pedro Felzenszwalb, Olga Veksler
ECP
1997
Springer
128views Robotics» more  ECP 1997»
14 years 1 days ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
ACCV
2010
Springer
13 years 2 months ago
A Unified Approach to Segmentation and Categorization of Dynamic Textures
Dynamic textures (DT) are videos of non-rigid dynamical objects, such as fire and waves, which constantly change their shape and appearance over time. Most of the prior work on DT ...
Avinash Ravichandran, Paolo Favaro, René Vi...