A Hybrid Supervised-unsupervised Method on Image Topic Visualization with Convolutional Neural Network and LDA

15 Mar 2017 • Kai Zhen • Mridul Birla • David Crandall • Bingjing Zhang • Judy Qiu

Given the progress in image recognition with recent data driven paradigms, it's still expensive to manually label a large training data to fit a convolutional neural network (CNN) model. This paper proposes a hybrid supervised-unsupervised method combining a pre-trained AlexNet with Latent Dirichlet Allocation (LDA) to extract image topics from both an unlabeled life-logging dataset and the COCO dataset... (read more)

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METHOD	TYPE
LDA	Dimensionality Reduction
1x1 Convolution	Convolutions
Convolution	Convolutions
Local Response Normalization	Normalization
Grouped Convolution	Convolutions
ReLU	Activation Functions
Dropout	Regularization
Dense Connections	Feedforward Networks
Max Pooling	Pooling Operations
AlexNet	Convolutional Neural Networks
Softmax	Output Functions

METHOD

TYPE

LDA