This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
Abstract. Visual data
ow environments are ideally suited for modeling digital signal processing (DSP) systems, as many DSP algorithms are most naturally specied by signal
ow gra...
James Hwang, Brent Milne, Nabeel Shirazi, Jeffrey ...
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos
In this paper, we employ an anatomical parameterization of spatial warps to reveal structural differences between medical images of healthy control subjects and disease patients. T...
The majority of speaker verification systems proposed in the NIST speaker recognition evaluation are conditioned on the type of data to be processed: telephone or microphone. In ...
Najim Dehak, Zahi N. Karam, Douglas A. Reynolds, R...