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We propose a method for finding CRMs in a set of co-regulated genes. Each CRM consists of a set of binding sites of transcription factors. We wish to find CRMs involving the same transcription factors in multiple sequences. Finding such a combination of transcription factors is inherently a combinatorial problem. We solve this problem by combining the principles of itemset mining and constraint programming...
In this paper, we present a study of extracting urban areas from Polarimetric Synthetic Aperture Radar (PolSAR) images using only positive samples. We solve this problem by learning a standard binary classifier (urban/non-urban) given an incomplete set of positive samples (urban) and a set of unlabeled samples (some of which are urban and some of which are non-urban) based on the work of Elkan and...
An algorithm, TBCClustering, is presented in the paper for clustering GML documents using maximal frequent induced subtree patterns. TBCClustering mines the maximal frequent induced subtrees by using the structural information of GML documents, it can get the best minimum support automatically, and then chooses a set of subtree patterns to form the optimistic clustering features. Finally it uses CLOPE...
In data mining, SVD is a popular method that has been used for compressing high dimensional data. Binary matrix factorization (BMF) is a variant of SVD. There are two methods for binary factorization compression: the iterative heuristic and greedy algorithms. However, both of them are not perfect in applications. The iterative heuristic does not guarantee the convergence in most cases and greedy algorithms...
Objective: To investigate target moleculars and signal pathways involved in chronic sinusitis, nasal polyps. Methods: Proteins were extracted from chronic sinusitis, nasal polyps and normal nasal mucosa tissue, and were separated by the immobilized pH4-7 gradient two-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis. The peptide mass fingerprint and sequence tag of differentially...
Flood is one of the most common and expensive natural disaster. Rapid and efficient procedure to accurately detect the flood-inundated area irrespective of weather conditions will help the monitoring and rescuing during the seasonal flooding period. In this paper, a procedure is proposed to obtain the flood mapping using multi-temporal TerraSAR-X data. And a comparative experiment is design to test...
Compressive sensing (CS) has attracted many researchers since it offers a novel paradigm that one can acquire sparse signals at a sub-Nyquist rate without information losses. In J. Ma, April 2009, S. Bhattacharya et al, Aug 2007, and G. Rilling et al, 2009, the authors have presented some schemes for CS application on remote sensing imaging, some of which are related to SAR. CS remote sensing imaging...
Real-time systems are increasingly used in dynamic changing environments with variable user needs, hosting real-time applications ranging in number and nature. This paper proposes an architecture-based framework for managing components' dependence and lifecycle in an effective and uniform way. A real-time component runtime service is proposed here to maintain the global view, control the whole lifecycle...
Industrial process control IP networks support communications between process control applications and devices. Communication faults in any stage of these control networks can cause delays or even shutdown of the entire manufacturing process. The current process of detecting and diagnosing communication faults is mostly manual, cumbersome, and inefficient. Detecting early symptoms of potential problems...
With the development of synthetic aperture radar (SAR) in recent years, the explosion of SAR images has urged people to find efficient means for searching and organizing mass amounts of images. In this paper, we propose an approach to content-based retrieval of SAR images, which contains feature selection and relevance feedback. In the process of retrieval, a low-dimensional feature subset is selected...
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