We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Abstract. The IBM Pattern-based Process Model Accelerators add a set of patterns, transformations, refactoring operations, and a control-flow analysis feature to IBM WebSphere Busi...
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
In this paper, we construct a new class of deformable models using new biorthogonal wavelets, named Generalized Hermite Distributed Approximating Functional (g-HDAF) Wavelets. The...
Ioannis A. Kakadiaris, Emmanuel Papadakis, Lixin S...
Abstract. We are developing a methodology of Test-Driven Development of Models (TDDM) based on an experimental UML2.0 modeling tool SMART. Our experience shows that TDDM is quite u...
Susumu Hayashi, Pan YiBing, Masami Sato, Kenji Mor...