We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
Despite their simplicity, scalar threshold operators effectively remove additive white Gaussian noise from wavelet detail coefficients of many practical signals. This paper explor...
Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchan...
In this paper, we present a novel object-based statistical colocalization method. Our colocalization relies on multiple hypothesis tests on the distances between all pairs of the ...
Bo Zhang, Nicolas Chenouard, Jean-Christophe Olivo...
We consider the blind separation of sources with general (e.g., not necessarily stationary) temporal covariance structures. When the sources’ temporal covariance matrices are kn...
This paper investigates the impact of automatic sentence segmentation on speech summarization using the ICSI meeting corpus. We use a hidden Markov model (HMM) for sentence segmen...