We consider the sequential portfolio investment problem. Building on results in signal processing, machine learning, and other areas, we use factor graphs to develop new universal...
Recently we have presented a novel approach for transient noise reduction that relies on non-local (NL) filtering. In this paper, we modify and extend our approach to support clu...
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
In this paper we present a study on phone confusabilities based on phone recognition experiments from facial surface electromyographic (EMG) signals. In our study EMG captures the...
Secure signal processing is an emerging technology to enable signal processing tasks in a secure and privacy-preserving fashion. It has attracted a great amount of research attent...
The maximum a posteriori (MAP) criterion is broadly used in the statistical model-based voice activity detection (VAD) approaches. In the conventional MAP criterion, however, the ...
This work analyzes the performance of speaker recognition when carried out by human lay listeners. In forensics, judges and jurors usually manifest intuition that people is profi...
Daniel Ramos, Javier Franco-Pedroso, Joaquin Gonza...
A discretized version of a continuous optimization problem is considered for the case where data is obtained from a set of dispersed sensor nodes and the overall metric is a sum o...
This paper deals with the problem of finding the optimal sequence of sub-word unit HMMs for a number of given utterances of a word. For this problem we present a new solution bas...
This paper applies affinity propagation (AP) to develop distributed solutions for routing over networks. AP is a message passing algorithm for unsupervised learning. This paper d...
Manohar Shamaiah, Sang Hyun Lee, Sriram Vishwanath...