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» Optimizing Local Probability Models for Statistical Parsing
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ACSAC
2003
IEEE
14 years 1 months ago
Automatic Reassembly of Document Fragments via Context Based Statistical Models
Reassembly of fragmented objects from a collection of randomly mixed fragments is a common problem in classical forensics. In this paper we address the digital forensic equivalent...
Kulesh Shanmugasundaram, Nasir D. Memon
ACL
2008
13 years 9 months ago
Applying a Grammar-Based Language Model to a Simplified Broadcast-News Transcription Task
We propose a language model based on a precise, linguistically motivated grammar (a hand-crafted Head-driven Phrase Structure Grammar) and a statistical model estimating the proba...
Tobias Kaufmann, Beat Pfister
SAIG
2000
Springer
13 years 11 months ago
Generating Data Analysis Programs from Statistical Models
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
Bernd Fischer 0002, Johann Schumann, Thomas Pressb...
ICCAD
2005
IEEE
133views Hardware» more  ICCAD 2005»
14 years 4 months ago
Gate sizing using incremental parameterized statistical timing analysis
— As technology scales into the sub-90nm domain, manufacturing variations become an increasingly significant portion of circuit delay. As a result, delays must be modeled as sta...
Matthew R. Guthaus, Natesan Venkateswaran, Chandu ...
CORR
2011
Springer
210views Education» more  CORR 2011»
13 years 2 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro