CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
In this work we seek to move away from the traditional paradigm for 2D object recognition whereby objects are identified in the image as 2D bounding boxes. We focus instead on: i...
JMLR
2012
12 years 1 months ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
HISB
2011
12 years 11 months ago
2011
—We address the problem of finding a mathematical model for the genetic network regulating the stress response of the yeast Saccharomyces cerevisiae to the fungicide mancozeb. A...
EMNLP
2011
12 years 11 months ago
2011
Previous work has shown that high quality phrasal paraphrases can be extracted from bilingual parallel corpora. However, it is not clear whether bitexts are an appropriate resourc...
CEC
2010
IEEE
13 years 6 months ago
2010
IEEE
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
CDC
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper, we present a model of distributed parameter estimation in networks, where agents have access to partially informative measurements over time. Each agent faces a loca...
ICDAR
2009
IEEE
13 years 9 months ago
2009
IEEE
Approximate text search is a basic technique to handle recognized text that contains recognition errors. This paper proposes an approximate string search for recognized text using...
EMNLP
2010
13 years 9 months ago
2010
We address the modeling, parameter estimation and search challenges that arise from the
TMI
1998
13 years 11 months ago
1998
— The problem of parameter estimation from Rician distributed data (e.g., magnitude Magnetic Resonance images) is addressed. The properties of conventional estimation methods are...
CSL
1998
Springer
13 years 11 months ago
1998
Springer
In this paper, we propose parameter estimation techniques for mixture density polynomial segment models (MDPSMs) where their trajectories are specified with an arbitrary regressi...