Nonsmooth Optimization Techniques for Semisupervised Classification

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

Nonsmooth optimization techniques for structured controller design

Significant progress in control design has been achieved by the use of nonsmooth and semi-infinite mathematical programming techniques. In contrast with LMI or BMI approaches, these new methods avoid the use of Lyapunov variables, which gives them two major strategic advances over matrix inequality methods. Due to the much smaller number of decision variables, they do not suffer from size restr...

متن کامل

Nonsmooth Optimization using Classification and Regression Trees

Nonsmooth local optimization problems occur in many fields, including engineering, mathematics, and economics. In economics, nonsmooth problems can be found in finance, mathematical economics and production theory. Examples include, nonsmooth utility maximization and exact penalty functions. However there are few convergent optimization algorithms to solve general nonsmooth or discontinuous pro...

متن کامل

Self-Paced Learning for Semisupervised Image Classification

In this project, I plan to apply self-paced learning to the bounding-box problem using the VOC2011 dataset.

متن کامل

Stochastic ADMM for Nonsmooth Optimization

Alternating Direction Method of Multipliers (ADMM) gained lost of attention due to LargeScale Machine Learning demands. • Classic (70’s) and flexible, Survey paper: (Boyd 2009) • Applications: compressed sensing (Yang & Zhang, 2011), image restoration (Goldstein & Osher, 2009), video processing and matrix completion (Goldfarb et al., 2010) • Recent variations: Linearized (Goldfarb et al., 2010;...

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: IEEE Transactions on Pattern Analysis and Machine Intelligence

سال: 2007

ISSN: 0162-8828,2160-9292

DOI: 10.1109/tpami.2007.1102