The "novel information criterion" (NIC) algorithm was developed by Miao and Hua in 1998 for fast adaptive computation of the principal subspace of a vector sequence. The NIC algorithm is as efficient computationally as the PAST method, which was devised by Yang in 1995, and also has an attractive orthonormal property. Although all available evidence suggests that the NIC algorithm converges to the desired solution for any fixed leakage factor between zero and one, a complete proof (or disproof) has not been found, except for an arbitrarily small leakage factor. This paper presents this long-standing open problem with a discussion of what is known so far. The results shown in this paper provide a new insight into the orthonormal property of ...
In this paper, we present a new algorithm for tracking the signal subspace recursively. It is based ...
In this thesis, we present four algorithms for solving sparse nonlinear systems of equations: the pa...
Fast estimation and tracking of the principal subspace of a sequence of random vectors is a classic ...
The "novel information criterion" (NIC) algorithm was developed by Miao and Hua in 1998 for fast ada...
We introduce a novel information criterion (NIC) for searching for the optimum weights of a two-laye...
A class of fast subspace tracking methods such as the Oja method, the projection approximation subsp...
A class of fast subspace tracking methods such as the Oja method, the projection approximation subsp...
We discuss estimates for the rate of convergence of the method of successive subspace corrections in...
Abstract. In our recent studies we have proposed the use of minimum error entropy criterion as an al...
In this article we consider the Data Projection Method (DPM), which constitutes a simple and reliabl...
In this article we consider the Data Projection Method (DPM), which constitutes a simple and reliabl...
Oja's principal subspace algorithm is a well-known and powerful technique for learning and trackingp...
A subspace tracking technique has drawn a lot of attentions due to its wide applications. The main o...
Subspace Iteration (SI) is perhaps one of the earliest iterative algorithmsused as a numerical eigen...
Advancements in the field of high-performance scientific computing are necessary to address the most...
In this paper, we present a new algorithm for tracking the signal subspace recursively. It is based ...
In this thesis, we present four algorithms for solving sparse nonlinear systems of equations: the pa...
Fast estimation and tracking of the principal subspace of a sequence of random vectors is a classic ...
The "novel information criterion" (NIC) algorithm was developed by Miao and Hua in 1998 for fast ada...
We introduce a novel information criterion (NIC) for searching for the optimum weights of a two-laye...
A class of fast subspace tracking methods such as the Oja method, the projection approximation subsp...
A class of fast subspace tracking methods such as the Oja method, the projection approximation subsp...
We discuss estimates for the rate of convergence of the method of successive subspace corrections in...
Abstract. In our recent studies we have proposed the use of minimum error entropy criterion as an al...
In this article we consider the Data Projection Method (DPM), which constitutes a simple and reliabl...
In this article we consider the Data Projection Method (DPM), which constitutes a simple and reliabl...
Oja's principal subspace algorithm is a well-known and powerful technique for learning and trackingp...
A subspace tracking technique has drawn a lot of attentions due to its wide applications. The main o...
Subspace Iteration (SI) is perhaps one of the earliest iterative algorithmsused as a numerical eigen...
Advancements in the field of high-performance scientific computing are necessary to address the most...
In this paper, we present a new algorithm for tracking the signal subspace recursively. It is based ...
In this thesis, we present four algorithms for solving sparse nonlinear systems of equations: the pa...
Fast estimation and tracking of the principal subspace of a sequence of random vectors is a classic ...