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ICASSP
2009
IEEE
15 years 4 months ago
Probabilistic matrix tri-factorization
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
Jiho Yoo, Seungjin Choi
ICDAR
2009
IEEE
16 years 1 months ago
Inductive Logic Programming for Symbol Recognition
In this paper, we make an attempt to use Inductive Logic Programming (ILP) to automatically learn non trivial descriptions of symbols, based on a formal description. This work is ...
K. C. Santosh, Bart Lamiroy, Jean-Philippe Ropers
ICST
2008
IEEE
16 years 1 months ago
Efficient Test Data Generation for Variables with Complex Dependencies
This paper introduces a new method for generating test data that combines the benefits of equivalence partitioning, boundary value analysis and cause-effect analysis. It is suitab...
Armin Beer, Stefan Mohacsi
ATVA
2004
Springer
135views Hardware» more  ATVA 2004»
16 years 2 days ago
Using Block-Local Atomicity to Detect Stale-Value Concurrency Errors
Data races do not cover all kinds of concurrency errors. This paper presents a data-ow-based technique to nd stale-value errors, which are not found by low-level and high-level d...
Cyrille Artho, Klaus Havelund, Armin Biere
MLMI
2004
Springer
16 years 1 days ago
Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...