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The use of word senses in place of surface word forms has been shown to improve performance on many computational tasks, including intelligent web search. In this paper we propose a novel approach to automatic discovery of word senses from raw text, a task referred to as Word Sense Induction (WSI). Almost all the WSI approaches proposed in the literature dealt with monolingual data and only very few...
While modern research in face recognition has focused on new feature representations, alternate learning methods for fusion of features, most have ignored the issue of unmodeled correlations in face data when combining diverse features such as similar visual regions, attributes, appearance frequency, etc. Conventional wisdom is that by using sufficient data and machine, one can learn the systematic...
Requirements Engineering (RE) and Testing are important steps in many software development processes. It is critical to monitor the progress of the testing phase to allocate resources (person-power, time, computational resources) properly, and to make sure the prioritization of requirements are reflected during testing, i.e. more critical requirements are given higher priority and tested well. In...
This paper presents a feasible transition path (FTP) generation approach for testing extended finite state machines (EFSM). The major problem faced by EFSM-based testing is the existence of the infeasible paths due to conflict of the context variable with the enable conditions in the transition path. In order to avoid infeasible path generation, this paper proposed an approach that uses the modified...
Effective debugging is crucial to producing dependable software. Manual debugging is becoming prohibitively expensive, especially due to the growing size and complexity of programs. Given that fault localization is one of the most expensive activities in program debugging, there has been a great demand for fault localization techniques that can help guide programmers to the locations of faults. In...
This paper proposes a simple yet effective method to learn the hierarchical object shape model consisting of local contour fragments, which represents a category of shapes in the form of an And-Or tree. This model extends the traditional hierarchical tree structures by introducing the “switch” variables (i.e. the or-nodes) that explicitly specify production rules to capture shape variations. We thus...
Customer returns are defective parts that pass all functional and parametric tests, but fail in the field. To prevent customer returns, this paper analyzes wafer probe test data and tries to understand what it takes to screen them out during testing. Because these parts pass all tests, analyzing their signatures based on the original test perspective does not make sense. In this work, we search for...
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