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This paper is a thesis of tsinghua university. Title: the method of continuous hidden markov model used in humming retrieval and its strengthening method is of great reference value and worth seeing.
Date : 2025-05-18 Size : 407kb User : 阳关

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bp neural network algorithm to solve optimization problems, one of the advanced algorithm, the paper discusses the neural network in the most widely used feed-forward neural network. Its network weights learning algorith
Date : 2025-05-18 Size : 19kb User : 刘慧

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Date : 2025-05-18 Size : 97kb User :

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Learning c++ Study of 50 advice c++ The 50 advice
Date : 2025-05-18 Size : 6kb User : jjj

windows ce .net step-by-step
Date : 2025-05-18 Size : 432kb User : hungtseyee

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TMS320LF240x DSP C language development and application of Liu Heping Wang Deng Li-Jun Jiang Yu made the contents of the CD-ROM
Date : 2025-05-18 Size : 117kb User : zhou

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Inside the system lj-line clean-up and system optimization a very wide spread of a
Date : 2025-05-18 Size : 5kb User : zhou

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eos1b data are widely used in remote sensing image processing, so understanding eos 1b for the late application of remote sensing is very important!
Date : 2025-05-18 Size : 2.6mb User : 文海

Monte Carlo method on a very complete introduction PPT documents, it is in English, were helpful in learning, contribute to a better understanding of the connotation of the method, the document prepared by a very refined
Date : 2025-05-18 Size : 2.24mb User : 阳关

We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variabl
Date : 2025-05-18 Size : 172kb User : 阳关

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In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical particle filtering algorithm. Each particle contains a
Date : 2025-05-18 Size : 181kb User : 阳关

An unsatisfactory property of particle filters is that they May become inefficient when the observation noise is low. In this paper we consider a simple to implement particle filter, Called 'LIS -based particle filter',
Date : 2025-05-18 Size : 120kb User : 阳关
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