منابع مشابه
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited to restoration tasks and can effectively be learned from audio, image, and video data. Recent research has been aimed at learning discriminative sparse models instead of purely reconstructive ones. This paper proposes a new step in that direction, with a novel sparse representation for signals belonging to different classes in...
متن کاملWeakly-supervised Dictionary Learning
We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and restoration as well as high-level classification tasks, which can be applied to audio and image analysis. Synthesis dictionary learning aims at jointly l...
متن کاملPSSDL: Probabilistic Semi-supervised Dictionary Learning
While recent supervised dictionary learning methods have attained promising results on the classification tasks, their performance depends on the availability of the large labeled datasets. However, in many real world applications, accessing to sufficient labeled data may be expensive and/or time consuming, but its relatively easy to acquire a large amount of unlabeled data. In this paper, we p...
متن کاملStruture-aware Classification Using Supervised Dictionary Learning
In this work, we propose a supervised dictionary learning algorithm, that attempts to preserve the local geometry in both dimensions of the data. A graph-based regularization explicitly takes into account the local manifold structure of the data, and a second graph regularization gives similar treatment to the feature domain and helps in learning a more robust dictionary. Both graphs can be con...
متن کاملBayesian Supervised Dictionary learning
This paper proposes a novel Bayesian method for the dictionary learning (DL) based classification using Beta-Bernoulli process. We utilize this non-parametric Bayesian technique to learn jointly the sparse codes, the dictionary, and the classifier together. Existing DL based classification approaches only offer point estimation of the dictionary, the sparse codes, and the classifier and can the...
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: IEEE Transactions on Signal Processing
سال: 2013
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2013.2274276