Material for “ Multi - label Multiple Kernel Learning by Stochastic Approximation : Application to Visual Object Recognition ”

نویسندگان

  • Serhat S. Bucak
  • Rong Jin
  • Anil K. Jain
چکیده

Proposition 1. Eq. (2) is the dual problem of Eq. (1).

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition

Recent studies have shown that multiple kernel learning is very effective for object recognition, leading to the popularity of kernel learning in computer vision problems. In this work, we develop an efficient algorithm for multi-label multiple kernel learning (ML-MKL). We assume that all the classes under consideration share the same combination of kernel functions, and the objective is to fin...

متن کامل

Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies

Multiple Instance Multiple Label learning problem has received much attention in machine learning and computer vision literature due to its applications in image classification and object detection. However, the current state-of-the-art solutions to this problem lack scalability and cannot be applied to datasets with a large number of instances and a large number of labels. In this paper we pre...

متن کامل

Learning Random Kernel Approximations for Object Recognition

Approximations based on random Fourier features have recently emerged as an efficient and formally consistent methodology to design large-scale kernel machines [24]. By expressing the kernel as a Fourier expansion, features are generated based on a finite set of random basis projections, sampled from the Fourier transform of the kernel, with inner products that are Monte Carlo approximations of...

متن کامل

Multiple Kernel and Multi-label Learning for Image Categorization

MULTIPLE KERNEL AND MULTI-LABEL LEARNING FOR IMAGE CATEGORIZATION By Serhat Selçuk Bucak One crucial step in recovering useful information from large image collections is image categorization. The goal of image categorization is to find the relevant labels for a given image from a closed set of labels. Despite the huge interest and significant contributions by the research community, there rema...

متن کامل

Object Recognition based on Local Steering Kernel and SVM

The proposed method is to recognize objects based on application of Local Steering Kernels (LSK) as Descriptors to the image patches. In order to represent the local properties of the images, patch is to be extracted where the variations occur in an image. To find the interest point, Wavelet based Salient Point detector is used. Local Steering Kernel is then applied to the resultant pixels, in ...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010