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Clustering is a fundamental technique widely used for exploring the inherent data structure in pattern recognition and machine learning. Most of the existing methods focus on modeling the similarity/dissimilarity relationship among instances, such as k-means and spectral clustering, and ignore to extract more effective representation for clustering. In this paper, we propose a deep embedding network...
The dynamics of a qubit in two different environments are investigated theoretically. The first environment is a two level system coupled to a bosonic bath. And the second one is a damped harmonic oscillator. Based on a unitary transformation, we find that the decoherence of the qubit can be reduced with increasing temperature T in the first case, which agree with the results in Ref. [8], whereas,...
Fingerprints used for identification and verification has attracted many biometric researchers. Although no identical fingerprint from distinct identities was found, a perfect automatic fingerprint identification system (AFIS) may not exist. This paper implements an AFIS with the use of fingerprint classification and a minutiae pattern matching. Our system is tested on a database composed of 112300...
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