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object instances

ANNOTATING OBJECT INSTANCES WITH A POLYGON-RNN

ANNOTATING OBJECT INSTANCES WITH A POLYGON-RNN

... ○ GrabCut - Annotation as 2D bounding boxes + per pixel labelling using EM algorithm (Idea extended to 3D bounding boxes + point clouds )?. Drawbacks:?[r] ...

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Junit Test Cases Generation by Generating Object Instances and Genetic Algorithm

Junit Test Cases Generation by Generating Object Instances and Genetic Algorithm

... In software life cycle software testing is essential stage which includes test data generation which is most expensive and time consuming part [1].generating test data for object oriented code is challenging ...

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Learning to Localize Objects with Noisy Labeled Instances

Learning to Localize Objects with Noisy Labeled Instances

... Supervised Object Localization (WSOL) with only image-level ...missing object locations as latent variables, and contribute a novel self-directed optimization strategy to infer ...localize object ...

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CA ERwin Data Modeler. Implementation Guide

CA ERwin Data Modeler. Implementation Guide

... your object and property type ...selected object instances as rows and your selected properties as ...the object instances and properties that appear in the Bulk ...

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Oracle Life Sciences Data Hub

Oracle Life Sciences Data Hub

... all object types. You first create the object as a whole, classify both the definition and the instance, then define component objects: in the case of Programs these include Table Descriptors, Source Code, ...

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What, Where & How Many? Combining Object Detectors and CRFs

What, Where & How Many? Combining Object Detectors and CRFs

... of object instances of a particular ...row. Object class segmentation methods such as [3, 8, 16] would label all the cars adjacent to each other as belonging to a large car segment or blob, as ...

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Provably  weak  instances  of  Ring-LWE

Provably weak instances of Ring-LWE

... We use the term Poly-LWE to refer to LWE problems generated by working in a polynomial ring, and reserve the term Ring-LWE for LWE problems generated by working with the canonical embedding of a number field as in ...

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Learning Categories and their Instances by Contextual Features

Learning Categories and their Instances by Contextual Features

... their instances from natural language text based on given training ...of instances it ...new instances of a category using the filtered rules applied within a previously proposed ...

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Analyzing Spark Performance on Spot Instances

Analyzing Spark Performance on Spot Instances

... Cloud computing has become an overwhelmingly effective solution to build low-cost, scalable online services (Infrastructure as a Service or IaaS). Providers such as AWS Elas- tic Compute Cloud (AWS EC2) [2], Google ...

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Video Object Counting in Unconstrained Environments Using Density-Based  Clustering

Video Object Counting in Unconstrained Environments Using Density-Based Clustering

... The object counting approach detailed in this thesis essentially falls under the ‘Count- ing by Object Detection’ discussed in Subsection ...the object count estimations al- though in [22], they use ...

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Active Learning with Feedback on Features and Instances

Active Learning with Feedback on Features and Instances

... labeled instances, most state of the art learning algorithms are able to distinguish the relevant features from the irrelevant ones (Brank et ...labeled instances, working with a small set of relevant ...

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Kaseya 2. User Guide. Version 7.0. English

Kaseya 2. User Guide. Version 7.0. English

... (http://help.kaseya.com/webhelp/EN/KDIS/7000000/index.asp#1944.htm) retrieves the objects you typically require. But if you do need to add an SNMP object from a MIB file manually you can do so using Monitor > ...

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Object to object

Object to object

... different surfaces. It is a process of seeing groups of what could be disparate objects as a whole, and/or seeing several different aspects of an object at the same time. I use a process of simultaneous design as ...

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Class Label Enhancement via Related Instances

Class Label Enhancement via Related Instances

... learn instances associated with animals, we instantiate the boot- strapping algorithm with the semantic class animals, the seed instance bears and the pattern “animals such as bears and ...new instances. We ...

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CryptoMiniSat Switches-Optimization for Solving Cryptographic Instances

CryptoMiniSat Switches-Optimization for Solving Cryptographic Instances

... This paper is organized in 5 parts as follows: In the first part we give an overview of the size, format and the density of the CNF instances which we have worked with. In the second part we present and discuss ...

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Cryptanalysis  of  Low-Data  Instances  of  Full  LowMCv2

Cryptanalysis of Low-Data Instances of Full LowMCv2

... LowMC is a flexible block cipher family based on a substitution-permutation network where the block size, the key size, the number of S-boxes in the substitution layer and the allowed da[r] ...

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Unveiling Instances Of Participatory Planning In Urban Development

Unveiling Instances Of Participatory Planning In Urban Development

... Abstract: Fast pace of urbanization is often complimented with inefficient urban infrastructure, a mismatch between demand and supply of urban services and poor quality of life. These are few of the driving forces for ...

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Proof lengths for instances of the Paris–Harrington principle

Proof lengths for instances of the Paris–Harrington principle

... Since all provably total functions of IΣ1 are primitive recursive, this complements 1 by the following statement: There is a primitive recursive function which maps k, n with n ≥ 2 to 2 [r] ...

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The effectiveness of a flood protection computer game for disaster education

The effectiveness of a flood protection computer game for disaster education

... Results: Students ’ levels of motivation were found to be high (an average of 2.3 instances of discussion, 0.7 instances of question, 1.3 instances of laughter, and 0.8 instances of scre[r] ...

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Identifying Domain Adjacent Instances for Semantic Parsers

Identifying Domain Adjacent Instances for Semantic Parsers

... input instances whose se- mantics are not representable in the parser’s out- put schema, and we assume only an in-domain dataset is available at training ...

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