We propose a method that exploits pose information in order to improve object classification. A lot of research has focused in other strategies, such as engineering feature extractors, trying different classifiers and even using transfer learning. Here, we use neural network architectures in a multi-task setup, whose outputs predict both the class and the camera azimuth. We investigate both Mul...

Ribosome biogenesis is critical in the growth of eukaryotic cells, in which the synthesis of precursor ribosomal RNA is the first and rate-limiting step. Here, we show that human PIH1 domain-containing protein 1 (PIH1) interacts directly with histone H4 and recruits the Brg1-SWI/SNF complex via SNF5 to human rRNA genes. This process is likely involved in PIH1-dependent DNase I-hypersensitive ch...

OBJECTIVE To conduct a federally funded study that examines the acquisition, implementation and operation of open source electronic health records (EHR) within safety net medical settings, such as federally qualified health centers (FQHC). METHODS AND MATERIALS The study was conducted by the National Opinion Research Center (NORC) at the University of Chicago from April to September 2010. The...

Recently, it was shown that deep neural networks can perform very well if the activities of hidden units are regularized during learning, e.g, by randomly dropping out 50% of their activities. We describe a method called ‘standout’ in which a binary belief network is overlaid on a neural network and is used to regularize of its hidden units by selectively setting activities to zero. This ‘adapt...

* ايجولونكت دهعم – دادغب , ينقتلا ميلعتلا ةئيه / دادغب ** مسق ةسدنه نداعملاو جاتنلاا , ةيجولونكتلا ةعماجلا / دادغب *** ايجولونكتلاو مولعلا ةرازو / دادغب 497 مييقت لكآتلا ةمواقم طاسوا يف ةيتيركنوكلا ةناسرخلا ةيوقت يف مدختسملا ديدحلل ةفلتخم ةيئام بوقعي فسوي ثيل * شابك ةرهزلا دبع لحز ** و حلاص دمحم قفوم *** 2010/12/21 خیرات میدقتلا : 2011/6/2 خیرات لوبقلا : ةصلاخلا ف حيلستلا ديدحل ...

With lot of research and advancement of deep learning, complex unsupervised learning is applied for extracting deep hierarchies of features especially to images. But, off-the-shelf unsupervised learning algorithms combined with deep learning techniques would yield results similar to complext,time consuming Deep learning algorithms. In this report, I would use K-means algorithm based on [1][3] a...

Generic object recognition is the classification of an individual object to a generic category. Intra-class variabilities, such as different objects of the same category, different poses and lighting conditions, cause big troubles for this task. Traditional methods involve plenty of pre-processing steps, such as shape model construction, extraction of hand-crafted features, etc. Moreover, these...

While vector quantization (VQ) has been applied widely to generate features for visual recognition problems, much recent work has focused on more powerful methods. In particular, sparse coding has emerged as a strong alternative to traditional VQ approaches and has been shown to achieve consistently higher performance on benchmark datasets. Both approaches can be split into a training phase, wh...