… constraints acting … kernel (H), was utilized to perform action recognition, and the proposed
motion descriptor was compared with some typical skeleton-based representations, ie, a bag …

… We hypothesize that this separation is beneficial for learning, since convolutional kernels
may otherwise struggle to disambiguate which channels correspond to ot or og. Figure 3 …

… in the CAD dataset the actions are performed by each single actor sequentially, so reducing
the intra class variability per actor, while on the contrary on the remaining two datasets the …

… The β parameter for the bag kernel depends on the noise … of an exponential acting as a soft
margin and a MIL-based … that our loss allows CNN-based retrieval systems to be trained with …

… [4] developed a detector which applied linear 2D Gaussian kernel in the spatial dimensions
… e) to (f), actors listen to the phones. Both final sections are longer because actors move little. …

… part (hand) of the actor; In the second line, the proposals tend to capture the whole actor …
first convolution kernel as illustrated in [33]. Following the same settings of previous works [23…

… Each of these actions is performed by 9 actors resulting in 90 videos. Leave-one-person out
… bag of features representation, and used a feature fusion method based on Multiple Kernel …

… Local features are robust to differing in actor size, clothing, … Today, retrieval systems can
be used for finding desired real … Suppose that, g is considered as the Gaussian kernel and I …

… and temporal constraints to the Bag-of-Visual-Words model, we exploit the spatio-temporal
relationships between interest points to build a graph-based representation of the video. …

… substitute for metadata based retrieval systems, objects’ … 2D Gaussian kernel filter is the first
filter that is applied on the … , human actions are categorized based on the actor positions and …