We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...
Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, must be quantized. Nearest neighbor and centroid conditions f...
Abstract—This paper presents a high-speed digital feedforward Delta-Sigma Modulator which relaxes timing requirement for the Dynamic Element Matching (DEM) algorithm. By making t...
In this paper, we present a scalable (i.e. lossy-to-lossless) watermark scheme based on a recently standardized scalable audio coder – AAZ [4]. The proposed framework enables th...
As noted almost a decade ago, HCI (Human-Computer Interaction) aspects of visual language environments are under-developed. This remains a fact, in spite of the central role playe...