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Chapter and Conference Paper
A Coding Hierarchy Computing Based Clustering Algorithm
In actual databases, there are a lot of hierarchy coding data, existing clustering algorithms don’t consider the special treatment of these data structure, so lead nonideal performance and clustering result. T...
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Chapter and Conference Paper
Mining Contrast Subspaces
In this paper, we tackle a novel problem of mining contrast subspaces. Given a set of multidimensional objects in two classes C + and C − and a query object o, we want to find t...
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Chapter and Conference Paper
Extreme Learning Machine with Gaussian Kernel Based Relevance Feedback Scheme for Image Retrieval
As for the huge gap between the low-level image features and high-level semantics, content-based image retrieval still could not receive a satisfying result by now. Since the special request of the relevance f...
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Chapter
Measuring by Movements: Hierarchical Clustering of Cities in China Based on Aggregated Massive Positioning Data
The world is becoming linked more and more. A shift of researching focus can be observed recently, from “city as a system” to “systems of cities,” given the context of fast-changing communicating technologies ...
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Chapter and Conference Paper
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity
In this paper, we propose a dual-process cognitive recommendation system for sequential recommendations. The framework includes an intuitive representation module (System 1) and an inference module (System 2)....