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PAMI
2010
161views more  PAMI 2010»
13 years 5 months ago
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...
Samarjit Das, Namrata Vaswani
CODES
2007
IEEE
14 years 1 months ago
Event-based re-training of statistical contention models for heterogeneous multiprocessors
Embedded single-chip heterogeneous multiprocessor (SCHM) systems experience frequent system events such as task preemption, power-saving voltage/frequency scaling, or arrival of n...
Alex Bobrek, JoAnn M. Paul, Donald E. Thomas
DKE
2007
131views more  DKE 2007»
13 years 7 months ago
Reasoning and change management in modular ontologies
ct 9 The benefits of modular representations are well known from many areas of computer science. While in software engi10 neering modularization is mainly a vehicle for supporting...
Heiner Stuckenschmidt, Michel C. A. Klein
SEKE
2004
Springer
14 years 21 days ago
Predicting UML Statechart Diagrams Understandability Using Fuzzy Logic-Based Techniques
In this work, we present an application of the Fuzzy Logic in the field of prediction in Software Engineering. We specifically use the Fuzzy Prototypical Knowledge Discovery for ch...
José A. Cruz-Lemus, Marcela Genero, Jos&eac...
AIED
2007
Springer
14 years 1 months ago
Predicting Students' Performance with SimStudent: Learning Cognitive Skills from Observation
SimStudent is a machine-learning agent that learns cognitive skills by demonstration. SimStudent was originally built as a building block for Cognitive Tutor Authoring Tools to hel...
Noboru Matsuda, William W. Cohen, Jonathan Sewall,...