Sciweavers

AAAI
2015
8 years 7 months ago
Dictionary Learning with Mutually Reinforcing Group-Graph Structures
In this paper, we propose a novel dictionary learning method in the semi-supervised setting by dynamically coupling graph and group structures. To this end, samples are represente...
Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, ...
AAAI
2015
8 years 7 months ago
Learning to Manipulate Unknown Objects in Clutter by Reinforcement
We present a fully autonomous robotic system for grasping objects in dense clutter. The objects are unknown and have arbitrary shapes. Therefore, we cannot rely on prior models. I...
Abdeslam Boularias, James Andrew Bagnell, Anthony ...
AAAI
2015
8 years 7 months ago
Achieving Intelligence Using Prototypes, Composition, and Analogy
In this paper, I summarize the results of a decade-plus of research and development driven by the vision that human knowledge can be grounded in a small number of prototypical com...
Vinay K. Chaudhri
AAAI
2015
8 years 7 months ago
Building Strong Semi-Autonomous Systems
The vision of populating the world with autonomous systems that reduce human labor and improve safety is gradually becoming a reality. Autonomous systems have changed the way spac...
Shlomo Zilberstein
AAAI
2015
8 years 7 months ago
Recursive Best-First Search with Bounded Overhead
Matthew Hatem, Scott Kiesel, Wheeler Ruml
AAAI
2015
8 years 7 months ago
Relational Stacked Denoising Autoencoder for Tag Recommendation
Tag recommendation has become one of the most important ways of organizing and indexing online resources like articles, movies, and music. Since tagging information is usually ver...
Hao Wang, Xingjian Shi, Dit-Yan Yeung
AAAI
2015
8 years 7 months ago
Existential Rule Languages with Finite Chase: Complexity and Expressiveness
Finite chase, or alternatively chase termination, is an important condition to ensure the decidability of existential rule languages. In the past few years, a number of rule langu...
Heng Zhang, Yan Zhang, Jia-Huai You
AAAI
2015
8 years 7 months ago
Contrastive Unsupervised Word Alignment with Non-Local Features
Word alignment is an important natural language processing task that indicates the correspondence between natural languages. Recently, unsupervised learning of log-linear models f...
Yang Liu, Maosong Sun
AAAI
2015
8 years 7 months ago
Consistent Knowledge Discovery from Evolving Ontologies
Deductive reasoning and inductive learning are the most common approaches for deriving knowledge. In real world applications when data is dynamic and incomplete, especially those ...
Freddy Lécué, Jeff Z. Pan
AAAI
2015
8 years 7 months ago
Colorization by Patch-Based Local Low-Rank Matrix Completion
Colorization aims at recovering the original color of a monochrome image from only a few color pixels. A stateof-the-art approach is based on matrix completion, which assumes that...
Quanming Yao, James T. Kwok