Results 11 to 20 of about 183,736 (229)

Bottom-Up/Top-Down Image Parsing with Attribute Grammar [PDF]

open access: greenIEEE Transactions on Pattern Analysis and Machine Intelligence, 2009
This paper presents a simple attribute graph grammar as a generative representation for made-made scenes, such as buildings, hallways, kitchens, and living rooms, and studies an effective top-down/bottom-up inference algorithm for parsing images in the process of maximizing a Bayesian posterior probability or equivalently minimizing a description ...
Feng Han, Song-Chun Zhu
openaire   +7 more sources

A pipeline model for bottom-up dependency parsing [PDF]

open access: bronzeProceedings of the Tenth Conference on Computational Natural Language Learning - CoNLL-X '06, 2006
We present a new machine learning framework for multi-lingual dependency parsing. The framework uses a linear, pipeline based, bottom-up parsing algorithm, with a look ahead local search that serves to make the local predictions more robust. As shown, the performance of the first generation of this algorithm is promising.
Dan Roth, Ming-Wei Chang, Quang Do
openaire   +3 more sources

Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy [PDF]

open access: bronzeArtificial Intelligence, 2019
Final peer-reviewed manuscript accepted for ...
Fernández-González, Daniel   +1 more
openaire   +5 more sources

High-Level Bottom-Up Cues for Top-Down Parsing of Facade Images [PDF]

open access: green2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, 2012
We address the problem of parsing images of building facades. The goal is to segment images, assigning to the resulting regions semantic labels that correspond to the basic architectural elements. We assume a top-down parsing framework is developed beforehand, based on a 2D shape grammar that encodes a prior knowledge on the possible composition of ...
Ok, David   +3 more
openaire   +5 more sources

Penentuan Pola Kalimat Bahasa Inggris Pada Simple Present Tense Menggunakan Metode Bottom Up Parsing

open access: bronzeINTEGER: Journal of Information Technology, 2016
English is a language widely used by many countries in the world. It has many grammar rules in which  each has structural pattern regulating composition of clause, phrase, and words in natural language.
Budanis Dwi Meilani, Muhamad Nasir
semanticscholar   +3 more sources

Bottom-up/top-down image parsing by attribute graph grammar [PDF]

open access: greenTenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005
In this paper, we present an attribute graph grammar for image parsing on scenes with man-made objects, such as buildings, hallways, kitchens, and living moms. We choose one class of primitives - 3D planar rectangles projected on images and six graph grammar production rules.
Song-Chun Zhu, Feng Han
openaire   +3 more sources

Bottom-Up Recognition and Parsing of the Human Body

open access: green2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformations they undergo makes this task extremely challenging. Previous methods have focused largely on heuristics or pairwise part models in approaching this problem.
Jianbo Shi, Praveen Srinivasan
openaire   +5 more sources

Generation of Syntax Parser on South Indian Language using Bottom-Up Parsing Technique and PCFG [PDF]

open access: yesJournal of Information Technology Management, 2023
In our research, we provide a statistical syntax parsing method experimented on Kannada texts, which is an official language of Karnataka, India. The dataset is downloaded from TDIL website.
M. Rajani Shree, Shambhavi B. R.
doaj   +1 more source

On Parsing Programming Languages with Turing-Complete Parser

open access: yesMathematics, 2023
A new parsing method based on the semi-Thue system is described. Similar to, but with more efficient implementation than Markov normal algorithms, it can be used for parsing any recursively enumerable language.
Boštjan Slivnik, Marjan Mernik
doaj   +1 more source

COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets

open access: yesFrontiers in Systems Neuroscience, 2021
Recent neurocognitive models commonly consider speech perception as a hierarchy of processes, each corresponding to specific temporal scales of collective oscillatory processes in the cortex: 30–80 Hz gamma oscillations in charge of phonetic analysis, 4 ...
Mamady Nabé   +3 more
doaj   +1 more source

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