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Bayesian Methods for Adaptive Models
TLDR
The Bayesian framework for model comparison and regularisation is demonstrated by studying interpolation and classification problems modelled with both linear and non–linear models and it is shown that the careful incorporation of error bar information into a classifier’s predictions yields improved performance.
Glove-Talk: a neural network interface between a data-glove and a speech synthesizer
TLDR
To illustrate the potential of multilayer neural networks for adaptive interfaces, a VPL Data-Glove connected to a DECtalk speech synthesizer via five neural networks was used to implement a hand-gesture to speech system, demonstrating that neural networks can be used to develop the complex mappings required in a high bandwidth interface that adapts to the individual user.
A Linear Programming Approach for Multiple Object Tracking
TLDR
A linear programming relaxation scheme for the class of multiple object tracking problems where the inter-object interaction metric is convex and the intra-object term quantifying object state continuity may use any metric is found to be able to find the global optimum with high probability.
Evaluation of Background Subtraction Algorithms with Post-Processing
TLDR
This paper evaluates several popular, state-of-the-art BGS algorithms and examines how post-processing techniques affect their performance and provides recommendations for achieving robust foreground segmentation based on the lessons learned performing this comparative study.
Contexts of Collaborative Musical Experiences
TLDR
It is the intention to provide a non-technical overview of design issues inherent in configuring multiplayer experiences, particularly for entry-level players.
ArtiSynth: A Fast Interactive Biomechanical Modeling Toolkit Combining Multibody and Finite Element Simulation
TLDR
ArtiSynth is an open source, Java-based biomechanical simulation environment for modeling complex anatomical systems composed of both rigid and deformable structures that provides forward simulation capabilities that combine multibody and finite element models.
Mapping transparency through metaphor: towards more expressive musical instruments
TLDR
A two-axis transparency framework that can be used as a predictor of the expressivity of a musical device is defined, and this theory provides a framework for design and evaluation of new human–machine and human–human interactions, including musical instruments.
Towards understanding IT security professionals and their tools
TLDR
The results suggest that the job of IT security management is distributed across multiple employees, often affiliated with different organizational units or groups within a unit and responsible for different aspects of it.
Collaborative Musical Experiences for Novices
TLDR
It is argued that musical expression with multi-person instruments is a form of communication between the players, and it is illustrated that design for musical collaboration facilitates exploration of sound space with low entry-level skill.
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