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ECML
2006
Springer
15 years 4 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
102
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AAAI
2008
15 years 2 months ago
Make3D: Depth Perception from a Single Still Image
Humans have an amazing ability to perceive depth from a single still image; however, it remains a challenging problem for current computer vision systems. In this paper, we will p...
Ashutosh Saxena, Min Sun, Andrew Y. Ng
100
Voted
CIKM
2008
Springer
15 years 2 months ago
Mining conceptual graphs for knowledge acquisition
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
Milagros Fernández, Eric Villemonte de la C...
90
Voted
AAAI
2010
15 years 2 months ago
Activity and Gait Recognition with Time-Delay Embeddings
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
Jordan Frank, Shie Mannor, Doina Precup
AIA
2007
15 years 2 months ago
A framework for generating data to simulate changing environments
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
Anand M. Narasimhamurthy, Ludmila I. Kuncheva