In this paper, we propose a novel parts-based binary-valued feature for ASR. This feature is extracted using boosted ensembles of simple threshold-based classifiers. Each such cl...
Distributed processing across a networked environment suffers from unpredictable behavior of speedup due to heterogeneous nature of the hardware and software in the remote machine...
M. Shahriar Hossain, M. Muztaba Fuad, Debzani Deb,...
: This paper presents an evaluation of our Scheduled Dataflow (SDF) Processor. Recent focus in the field of new processor architectures is mainly on VLIW (e.g. IA-64), superscalar ...
We propose a new method for using anaphoric information in Latent Semantic Analysis (lsa), and discuss its application to develop an lsa-based summarizer which achieves a signifi...
Josef Steinberger, Massimo Poesio, Mijail Alexandr...
Several phrase chunkers have been proposed over the past few years. Some state-of-the-art chunkers achieved better performance via integrating external resources, e.g., parsers and...
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to select samples close to the classification boundary,...
The goal of this paper is to study how a-prior knowledge of the image database could be exploited for better watermarking performance. Unlike most formulations, where the encoder ...