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SMC
2007
IEEE
111views Control Systems» more  SMC 2007»
14 years 2 months ago
Towards Visual Exploration of Topic Shifts
— This paper presents two approaches to visually analyze the topic shift of a pool of documents over a given period of time. The first of the proposed methods is based on a mult...
Kilian Thiel, Fabian Dill, Tobias Kötter, Mic...
NIPS
1998
13 years 9 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 6 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
ICASSP
2011
IEEE
13 years 5 days ago
One sentence voice adaptation using GMM-based frequency-warping and shift with a sub-band basis spectrum model
This paper presents a rapid voice adaptation algorithm using GMM-based frequency warping and shift with parameters of a subband basis spectrum model (SBM)[1]. The SBM parameter re...
Masatsune Tamura, Masahiro Morita, Takehiko Kagosh...
PRL
2008
356views more  PRL 2008»
13 years 8 months ago
Improving image segmentation by gradient vector flow and mean shift
The classical gradient vector flow (GVF) method suffers from deficiency in the presence of other significant edges adjacent to the real boundary. In this paper, we propose an impr...
Tangwei Liu, Huiyu Zhou, Faquan Lin, Yusheng Pang,...