Sciweavers

PVLDB
2010
91views more  PVLDB 2010»
13 years 10 months ago
Navigating in Complex Mashed-Up Applications
Mashups integrate a set of Web-services and data sources, often referred to as mashlets. We study in this paper a common scenario where these mashlets are components of larger Web...
Daniel Deutch, Ohad Greenshpan, Tova Milo
PVLDB
2010
82views more  PVLDB 2010»
13 years 10 months ago
SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems
There are many academic and commercial stream processing engines (SPEs) today, each of them with its own execution semantics. This variation may lead to seemingly inexplicable diï...
Irina Botan, Roozbeh Derakhshan, Nihal Dindar, Lau...
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
13 years 10 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
13 years 10 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 10 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efï¬cient use of data samples, but typically uses signiï¬cantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 10 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
PERCOM
2010
ACM
13 years 10 months ago
Towards ontology-driven development of applications for smart environments
—In the environments where heterogeneous devices need to share information, utilize services of each other, and participate as components in various smart applications, it is com...
Artem Katasonov, Marko Palviainen
PAMI
2010
135views more  PAMI 2010»
13 years 10 months ago
A Variational Approach to Degraded Document Enhancement
—The goal of this paper is to correct bleed-through in degraded documents using a variational approach. The variational model is adapted using an estimated background according t...
Reza Farrahi Moghaddam, Mohamed Cheriet
PAMI
2010
174views more  PAMI 2010»
13 years 10 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji
PAMI
2010
324views more  PAMI 2010»
13 years 10 months ago
A Compositional and Dynamic Model for Face Aging
—In this paper we present a compositional and dynamic model for face aging. The compositional model represents faces in each age group by a hierarchical And-Or graph, in which An...
Jin-Li Suo, Song Chun Zhu, Shiguang Shan, Xilin Ch...