This paper proposes a strategy for analyzing unknown, filled forms. First, horizontal and vertical line segments are detected, extracted and filtered. A recursive splitting and merging algorithm eliminates overlapping...
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A novel method that allows the development of surface point-based three-dimensional statistical shape models is presented. The method can be applied to shapes of arbitrary topology. Given a set of medical objects, a s...
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The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individuals must be inferred from noisy and am...
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The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individuals must be inferred from noisy and ambiguous data. We argue that Bayesian network models are an attractive statistical framework for cue fusion in these applications. Bayes nets combine a natural mechanism for expressing contextual information with efficient algorithms for learning and inference. We illustrate these points through the development of a Bayes net model for detecting when a user is speaking. The model combines four simple vision sensors: face detection, skin color, skin texture, and mouth motion. We present some promising experimental results.
Most real-world search and optimization problems are faced with constraints, which must be satisfied by any acceptable solution. Although a plethora of research is spent on handling constraints in genetic algorithms (...
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Most real-world search and optimization problems are faced with constraints, which must be satisfied by any acceptable solution. Although a plethora of research is spent on handling constraints in genetic algorithms (GAs), the same is not the case in evolution strategies (ESs). However, this does not say that ESs have not been applied to real-world problems. In fact, in the absence of an efficient constraint-handling technique, ES practitioners have mostly made sure that their ESs started from feasible solutions, a matter which allowed them to apply the commonly-used rejection scheme. In this paper, we borrow a constraint-handling scheme from the GA literature and implement it with standard ES paradigm. The resulting algorithm does not require initial feasible solutions and is found to yield a faster progress in the cylindrical corridor model and be efficient in solving a couple of complicated test problems. The results are interesting and suggest further use of the proposed technique in real-world search and optimization problems.
We present an algorithm for automatic image orientation estimation using a Bayesian learning framework. We demonstrate that a small codebook (the optimal size of codebook is selected using a modified MDL criterion) ex...
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We present an algorithm for automatic image orientation estimation using a Bayesian learning framework. We demonstrate that a small codebook (the optimal size of codebook is selected using a modified MDL criterion) extracted from a vector quantizer can be used to estimate the class-conditional densities of the observed features needed for the Bayesian methodology. We further show how feature clustering can be used as a feature selection mechanism to remove redundancies in the high-dimensional feature vectors used for classification. Experiments on a database of 17,901 images have shown that our proposed algorithm achieves an accuracy of approximately 97% on the training set and over 89% on an independent test set.
Learning the influence of additive noise and channel distortions from training data is an effective approach for robust speech recognition. Most of the previous methods are based on maximum likelihood estimation crite...
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In traditional information retrieval (IR) systems, a document as a whole is the target for a query. With increasing interests in structured documents like SGML documents, there is a growing need to build an LR system ...
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This paper investigates the placement of data and parity on redundant disk arrays. Declustered organizations have been traditionally used to achieve fast reconstruction of a failed disk's contents. In previous wor...
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This paper investigates the placement of data and parity on redundant disk arrays. Declustered organizations have been traditionally used to achieve fast reconstruction of a failed disk's contents. In previous work, Holland and Gibson identified six desirable properties for ideal layouts; however no declustered layout satisfying all properties has been published in the literature. We present a complete, constructive characterization of the collection of ideal declustered layouts possessing all six properties. Given that ideal layouts exist only for a limited set of configurations, we also present two novel layout families. PRIME and RELPR can tolerate multiple failures in a wide variety of configurations with slight deviations from the ideal. Our simulation studies show that the new layouts provide excellent parallel access performance and reduced incremental loads during degraded operation, when compared with previously published layouts. For large accesses and under high loads, response times for the new layouts are typically smaller than those of previously published declustered layouts by a factor of 2.5.
007, an intelligent modeling assistant, helps users formulate explicit, testable requirements and assess the current model. It then executes generic repair plans and revises the model until requirements are met.
007, an intelligent modeling assistant, helps users formulate explicit, testable requirements and assess the current model. It then executes generic repair plans and revises the model until requirements are met.
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