نتایج جستجو برای: labelled and pre

تعداد نتایج: 16862896  

Gholamreza Hassanzadeh, Miriam Javadi, Mitra Barzroodi pour, Mohammad Bayat,

ABSTRACTIntroduction: Previous investigations have shown that protein malnutrition can alters the structure and function of some areas of hippocampal formation. We investigated the effect of protein malnutrition on amygdaloid projections to the CA1 hippocampal area. In this study we investigated level and pattern of distribution of efferent projections from amygdala to hippocampus in the rat by...

2016
Huiling Wang Tapani Raiko Lasse Lensu Tinghuai Wang Juha Karhunen

Abstract. Deep convolutional neural networks (CNNs) have been immensely successful in many high-level computer vision tasks given large labelled datasets. However, for video semantic object segmentation, a domain where labels are scarce, e↵ectively exploiting the representation power of CNN with limited training data remains a challenge. Simply borrowing the existing pre-trained CNN image recog...

2014
Cordula Vogel Carsten W. Mueller Carmen Höschen Franz Buegger Katja Heister Stefanie Schulz Michael Schloter Ingrid Kögel-Knabner

The sequestration of carbon and nitrogen by clay-sized particles in soils is well established, and clay content or mineral surface area has been used to estimate the sequestration potential of soils. Here, via incubation of a sieved (<2 mm) topsoil with labelled litter, we find that only some of the clay-sized surfaces bind organic matter (OM). Surprisingly, <19% of the visible mineral areas sh...

2018
Bhuwan Dhingra Danish Pruthi Dheeraj Rajagopal

Recent success of deep learning models for the task of extractive Question Answering (QA) is hinged on the availability of large annotated corpora. However, large domain specific annotated corpora are limited and expensive to construct. In this work, we envision a system where the end user specifies a set of base documents and only a few labelled examples. Our system exploits the document struc...

2016
Noura Al Moubayed Toby P. Breckon Peter Matthews A. Stephen McGough

In This paper we present a novel approach to spam filtering and demonstrate its applicability with respect to SMS messages. Our approach requires minimum features engineering and a small set of labelled data samples. Features are extracted using topic modelling based on latent Dirichlet allocation, and then a comprehensive data model is created using a Stacked Denoising Autoencoder (SDA). Topic...

Journal: :Theoretical Computer Science 1994

Journal: :Journal of Animal Ecology 2001

2007
Tal Lev-Ami Christoph Weidenbach Thomas W. Reps Shmuel Sagiv

We add labels to first-order clauses to simultaneously apply superpositions to several proof obligations inside one clause set. From a theoretical perspective, the approach unifies a variety of deduction modes. These include different strategies such as set of support, as well as explicit case analysis, e.g., splitting. From a practical perspective, labelled clauses offer advantages in the case...

Journal: :Discrete Mathematics 2020

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