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Now showing items 111-120 of 276
E-Cube: multi-dimensional event sequence processing using concept and pattern hierarchies
(IEEE, 2010)
Many modern applications including tag based mass transit systems, RFID-based supply chain management systems and online financial feeds require special purpose event stream processing technology to analyze vast amounts ...
Rethinking frequency opponent modeling in automated negotiation
(Springer International Publishing, 2017)
Frequency opponent modeling is one of the most widely used opponent modeling techniques in automated negotiation, due to its simplicity and its good performance. In fact, it outperforms even more complex mechanisms like ...
Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data
(Elsevier, 2014-12-01)
The emergence of inexpensive 2.5D depth cameras has enabled the extraction of the articulated human body pose. However, human hand skeleton extraction still stays as a challenging problem since the hand contains as many ...
Shonan challenge for generative programming: short position paper
(ACM, 2013)
The appeal of generative programming is "abstraction without guilt": eliminating the vexing trade-off between writing high-level code and highly-performant code. Generative programming also promises to formally capture the ...
Cognition-enabled robot manipulation in human environments: requirements, recent work, and open problems
(IEEE, 2017-09)
Service robots are expected to play an important role in our daily lives as our companions in home and work environments in the near future. An important requirement for fulfilling this expectation is to equip robots with ...
Mirror neurons: Functions, mechanisms and models
(Elsevier, 2013-04-12)
Mirror neurons for manipulation fire both when the animal manipulates an object in a specific way and when it sees another animal (or the experimenter) perform an action that is more or less similar. Such neurons were ...
VISOR: A fast image processing pipeline with scaling and translation invariance for test oracle automation of visual output systems
(The ACM Digital Library, 2018-02)
A test oracle automation approach proposed for systems that produce visual output.Root causes of accuracy issues analyzed for test oracles based on image comparison.Image processing techniques employed to improve the ...
Variational closed-Form deep neural net inference
(Elsevier, 2018-09)
We introduce a Bayesian construction for deep neural networks that is amenable to mean field variational inference that operates solely by closed-form update rules. Hence, it does not require any learning rate to be manually ...
Model-based software product line testing by coupling feature Mmodels with hierarchical Markov chain usage models
(IEEE, 2016)
Model-based testing automates test case generation based on usage models of a system. In this paper, we introduce an approach for systematic reuse of these models for testing a large family of products. In our approach, ...
A small footprint hybrid statistical/unit selection text-to-speech synthesis system for agglutinative languages
(IEEE, 2012)
Despite its success, unit selection based text-to-speech synthesis (TTS) has has some disadvantages such as sudden discontinuities in speech that distract the listeners. The HMM-based TTS (HTS) approach has been increasingly ...
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