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» Resampling methods for input modeling
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CORR
1999
Springer
79views Education» more  CORR 1999»
15 years 2 months ago
Cascaded Markov Models
This paper presents a new approach to partial parsing of context-free structures. The approach is based on Markov Models. Each layer of the resulting structure is represented by i...
Thorsten Brants
97
Voted
CGF
2000
110views more  CGF 2000»
15 years 2 months ago
Directional Discretized Occluders for Accelerated Occlusion Culling
We present a technique for accelerating the rendering of high depth-complexity scenes. In a preprocessing stage, we approximate the input model with a hierarchical data structure ...
Fausto Bernardini, James T. Klosowski, Jihad El-Sa...
ACL
2009
15 years 12 days ago
A Novel Word Segmentation Approach for Written Languages with Word Boundary Markers
Most NLP applications work under the assumption that a user input is error-free; thus, word segmentation (WS) for written languages that use word boundary markers (WBMs), such as ...
Han-Cheol Cho, Do-Gil Lee, Jung-Tae Lee, Pontus St...
116
Voted
ICCAD
1994
IEEE
139views Hardware» more  ICCAD 1994»
15 years 6 months ago
Switching activity analysis considering spatiotemporal correlations
This work presents techniques for computing the switching activities of all circuit nodes under pseudorandom or biased input sequences and assuming a zero delay mode of operation....
Radu Marculescu, Diana Marculescu, Massoud Pedram
133
Voted
BMCBI
2010
152views more  BMCBI 2010»
15 years 2 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji...