Support vector regression and extended nearest neighbor for video object retrieval

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nearest Neighbor Prototyping for Sparse and Scalable Support Vector Machines

Training and evaluating support vector machines (SVMs) when large amounts of training data are available, is computationally expensive: for n data points, exact optimization results in O(n) time and O(n) space complexity if general-purpose solvers are used, while prediction involves storing and accessing a significant subset of the training data, demanding time and space as well. Addressing the...

متن کامل

Support Vector Based Prototype Selection Method for Nearest Neighbor Rules

The Support vector machines derive the class decision hyper planes from a few, selected prototypes, the support vectors (SVs) according to the principle of structure risk minimization, so they have good generalization ability. We proposed a new prototype selection method based on support vectors for nearest neighbor rules. It selects prototypes only from support vectors. During classification, ...

متن کامل

Improvement of Nearest-Neighbor Classifiers via Support Vector Machines

Theoretically well-founded, Support Vector Machines (SVM) are well-known to be suited for efficiently solving classification problems. Although improved generalization is the main goal of this new type of learning machine, recent works have tried to use them differently. For instance, feature selection has been recently viewed as an indirect consequence of the SVM approach. In this paper, we al...

متن کامل

Adaptive Nearest Neighbor Classification Using Support Vector Machines

The nearest neighbor technique is a simple and appealing method to address classification problems. It relies on the assumption of locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with a finite number of examples due to the curse of dimensionality. We propose a technique that computes a locally flexible metric by means of Support Vector Machin...

متن کامل

Adaptive Nearest Neighbor Classiication Using Support Vector Machines

The nearest neighbor technique is a simple and appealing method to address classiication problems. It relies on the assumption of locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with a nite number of examples due to the curse of dimensionality. We propose a technique that computes a locally exible metric by means of Support Vector Machines (S...

متن کامل

ذخیره 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: Evolutionary Intelligence

سال: 2018

ISSN: 1864-5909,1864-5917

DOI: 10.1007/s12065-018-0176-y