A Closed-form Solution for the Pre-image Problem in Kernel-based Machines
نویسندگان
چکیده
منابع مشابه
A Closed-form Solution for the Pre-image Problem in Kernel-based Machines
The pre-image problem is a challenging research subject pursued by many researchers in machine learning. Kernel-based machines seek some relevant feature in a reproducing kernel Hilbert space (RKHS), optimized in a given sense, such as kernel-PCA algorithms. Operating the latter for denoising requires solving the pre-image problem, i.e. estimating a pattern in the input space whose image in the...
متن کاملA Closed-Form Solution to the Ramification Problem
Our general concern is with how to integrate a representation of action into an existing set of state constraints. As has been observed in the literature, state constraints implicitly define indirect effects of actions as well as indirectly imposing further preconditions on the performance of actions. Thus, any representation scheme we propose must address the ramification and qualification pro...
متن کاملSimilarity Measure Learning in Closed-Form Solution for Image Classification
Adopting a measure is essential in many multimedia applications. Recently, distance learning is becoming an active research problem. In fact, the distance is the natural measure for dissimilarity. Generally, a pairwise relationship between two objects in learning tasks includes two aspects: similarity and dissimilarity. The similarity measure provides different information for pairwise relation...
متن کاملA CLOSED FORM SOLUTION FOR FREE VIBRATION ANALYSIS OF TUBE-IN-TUBE SYSTEMS IN TALL BUILDINGS
In this paper the dynamic response of tube-in-tube systems for tall building structures is investigated. Inner and outer tubes are modeled using equivalent continuous orthotropic membranes; in which, each tube is individually modeled by a cantilever box beam. By applying the compatibility conditions on deformation of the two tubes, the governing dynamic equations of the tube-in-tube structure a...
متن کاملThe Pre-image Problem and Kernel PCA for Speech Enhancement
In this paper, we use kernel principal component analysis (kPCA) for speech enhancement. To synthesize the de-noised audio signal we rely on an iterative pre-image method. In order to gain better understanding about the pre-image step we performed experiments with different pre-image methods, first on synthetic data and then on audio data. The results of these experiments led to a reduction of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Signal Processing Systems
سال: 2010
ISSN: 1939-8018,1939-8115
DOI: 10.1007/s11265-010-0482-9