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DAC
1997
ACM
15 years 4 months ago
Hierarchical Sequence Compaction for Power Estimation
- This paper presents an effective technique for compacting a large sequence of input vectors into a much smaller one such that when the two sequences are applied to any circuit, t...
Radu Marculescu, Diana Marculescu, Massoud Pedram
CVPR
2006
IEEE
16 years 1 months ago
Measurement integration under inconsistency for robust tracking
The solutions to many vision problems involve integrating measurements from multiple sources. Most existing methods rely on a hidden assumption, i.e., these measurements are consi...
Gang Hua, Ying Wu
BMCBI
2008
139views more  BMCBI 2008»
14 years 12 months ago
A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joinin
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...
Maozu Guo, Jian-Fu Li, Yang Liu
IDEAL
2004
Springer
15 years 5 months ago
Wrapper for Ranking Feature Selection
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a...
Roberto Ruiz, Jesús S. Aguilar-Ruiz, Jos&ea...
CVPR
2008
IEEE
16 years 1 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...