Fuzzy Encoding For Image Classification Using Gustafson-Kessel AglorithmAshish Gupta
This paper presents a novel adaptation of fuzzy clustering and
feature encoding for image classification. Visual word ambiguity
has recently been successfully modeled by kernel codebooks
to provide improvement in classification performance
over the standard ‘Bag-of-Features’(BoF) approach, which
uses hard partitioning and crisp logic for assignment of features
to visual words. Motivated by this progress we utilize
fuzzy logic to model the ambiguity and combine it with clustering
to discover fuzzy visual words. The feature descriptors
of an image are encoded using the learned fuzzy membership
function associated with each word. The codebook built
using this fuzzy encoding technique is demonstrated to provide
superior performance over BoF. We use the Gustafson-
Kessel algorithm which is an improvement over Fuzzy CMeans
clustering and can adapt to local distributions. We
evaluate our approach on several popular datasets and demonstrate
that it consistently provides superior performance to the
BoF approach.
Fuzzy Encoding For Image Classification Using Gustafson-Kessel AglorithmAshish Gupta
This paper presents a novel adaptation of fuzzy clustering and
feature encoding for image classification. Visual word ambiguity
has recently been successfully modeled by kernel codebooks
to provide improvement in classification performance
over the standard ‘Bag-of-Features’(BoF) approach, which
uses hard partitioning and crisp logic for assignment of features
to visual words. Motivated by this progress we utilize
fuzzy logic to model the ambiguity and combine it with clustering
to discover fuzzy visual words. The feature descriptors
of an image are encoded using the learned fuzzy membership
function associated with each word. The codebook built
using this fuzzy encoding technique is demonstrated to provide
superior performance over BoF. We use the Gustafson-
Kessel algorithm which is an improvement over Fuzzy CMeans
clustering and can adapt to local distributions. We
evaluate our approach on several popular datasets and demonstrate
that it consistently provides superior performance to the
BoF approach.
Teknik pengumpulan data teknologi pendidikanym.ygrex@comp
Teknik pengumpulan data teknologi pendidikan
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Foreground detection using gaussian mixture models matlabym.ygrex@comp
Foreground detection using gaussian mixture models matlab
Fuzzy inference process matlab & simulink
Fuzzy c means Fuzzy control systems advanced example — skfuzzy Adjust fuzzy overlap in fuzzy c means clustering - matlab & simulink, Cluster quasi random data using fuzzy c-means clustering - matlab & simulink,
Fuzzy c means for tumor segmentation using matlab matlab answers - matlab central
6. monika sianipar (1011493) perancangan aplikasi forecasting persediaan bahan baku produksi tapioka pada pt hutahaean dengan menggunakan metode least square
Teknik pengumpulan data teknologi pendidikanym.ygrex@comp
Teknik pengumpulan data teknologi pendidikan
Fuzzy inference process matlab & simulink
Fuzzy c means Fuzzy control systems advanced example — skfuzzy Adjust fuzzy overlap in fuzzy c means clustering - matlab & simulink, Cluster quasi random data using fuzzy c-means clustering - matlab & simulink,
Fuzzy c means for tumor segmentation using matlab matlab answers - matlab central
Foreground detection using gaussian mixture models matlabym.ygrex@comp
Foreground detection using gaussian mixture models matlab
Fuzzy inference process matlab & simulink
Fuzzy c means Fuzzy control systems advanced example — skfuzzy Adjust fuzzy overlap in fuzzy c means clustering - matlab & simulink, Cluster quasi random data using fuzzy c-means clustering - matlab & simulink,
Fuzzy c means for tumor segmentation using matlab matlab answers - matlab central
6. monika sianipar (1011493) perancangan aplikasi forecasting persediaan bahan baku produksi tapioka pada pt hutahaean dengan menggunakan metode least square
Sebuah buku foto yang berjudul Lensa Kampung Ondel-Ondelferrydmn1999
Indonesia, negara kepulauan yang kaya akan keragaman budaya, suku, dan tradisi, memiliki Jakarta sebagai pusat kebudayaan yang dinamis dan unik. Salah satu kesenian tradisional yang ikonik dan identik dengan Jakarta adalah ondel-ondel, boneka raksasa yang biasanya tampil berpasangan, terdiri dari laki-laki dan perempuan. Ondel-ondel awalnya dianggap sebagai simbol budaya sakral dan memainkan peran penting dalam ritual budaya masyarakat Betawi untuk menolak bala atau nasib buruk. Namun, seiring dengan bergulirnya waktu dan perubahan zaman, makna sakral ondel-ondel perlahan memudar dan berubah menjadi sesuatu yang kurang bernilai. Kini, ondel-ondel lebih sering digunakan sebagai hiasan atau sebagai sarana untuk mencari penghasilan. Buku foto Lensa Kampung Ondel-Ondel berfokus pada Keluarga Mulyadi, yang menghadapi tantangan untuk menjaga tradisi pembuatan ondel-ondel warisan leluhur di tengah keterbatasan ekonomi yang ada. Melalui foto cerita, foto feature dan foto jurnalistik buku ini menggambarkan usaha Keluarga Mulyadi untuk menjaga tradisi pembuatan ondel-ondel sambil menghadapi dilema dalam mempertahankan makna budaya di tengah perubahan makna dan keterbatasan ekonomi keluarganya. Buku foto ini dapat menggambarkan tentang bagaimana keluarga tersebut berjuang untuk menjaga warisan budaya mereka di tengah arus modernisasi.
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