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AUSAI
2008
Springer
14 years 11 months ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe
UAI
1996
14 years 11 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
TOIS
2002
97views more  TOIS 2002»
14 years 9 months ago
Burst tries: a fast, efficient data structure for string keys
Many applications depend on efficient management of large sets of distinct strings in memory. For example, during index construction for text databases a record is held for each d...
Steffen Heinz, Justin Zobel, Hugh E. Williams
CODES
2004
IEEE
15 years 1 months ago
Analytical models for leakage power estimation of memory array structures
There is a growing need for accurate power models at the system level. Memory structures such as caches, Branch Target Buffers (BTBs), and register files occupy significant area i...
Mahesh Mamidipaka, Kamal S. Khouri, Nikil D. Dutt,...
ICASSP
2010
IEEE
14 years 10 months ago
Noisy speech enhancement based on prior knowledge about spectral envelope and harmonic structure
This paper considers the enhancement of noisy speech. Earlier studies have revealed that an approach that enhances spectral envelopes by using prior knowledge about the all-pole (...
Takuya Yoshioka, Tomohiro Nakatani, Hiroshi G. Oku...